| Literature DB >> 30463516 |
Neetika Garg1, Margaret Jorgenson2, Jillian Descourouez2, Christopher M Saddler3, Sandesh Parajuli1, Brad C Astor1,4, Arjang Djamali1,5, Didier Mandelbrot6.
Abstract
BACKGROUND: The goal of this study was to identify predictors for development of Pneumocystis jirovecii pneumonia (PJP) in kidney and simultaneous kidney and pancreas transplant recipients in the present era of universal primary prophylaxis.Entities:
Keywords: Bactrim; CMV; Kidney transplant; Pneumocystis; Prophylaxis; Sulfamethoxazole-trimethoprim
Mesh:
Year: 2018 PMID: 30463516 PMCID: PMC6249739 DOI: 10.1186/s12882-018-1142-8
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Fig. 1a Time to development of PJP after transplantation. The year two delineated between the dotted lines represents the year with the highest incidence of PJP infections. b Histogram for time to diagnosis of PJP
Comparison of various clinical characteristics between the PJP and the non-PJP groups
| Non-PJP group ( | PJP group ( | ||
|---|---|---|---|
| Age at time of transplant (years) | 46.2 | 52.5 | 0.03* |
| Female (%) | 44.0 | 28.6 | 0.17 |
| Non-white (%) | 9.5 | 25.0 | 0.07 |
| Living donor transplants (%) | 47.6 | 32.1 | 0.14 |
| History of prior transplantation (%) | 21.4 | 15.4 | 0.41 |
| Induction immunosuppression | 0.22 | ||
| - None | 13.1 | 7.7 | |
| - Basiliximab | 36.9 | 65.4 | |
| - Thymoglobulin | 21.4 | 7.7 | |
| - Alemtuzumab | 13.1 | 19.2 | |
| - Other | 15.5 | 0 | |
| HLA mismatch | 2.7 | 3.9 | 0.005* |
| - HLA mismatch > 3 (%), with 3 being the median for the entire group | 35.7 | 65.4 | |
| Delayed graft function (%) | 11.9 | 14.3 | 0.76 |
| BK viremia (%) | 6.0 | 21.4 | 0.01* |
| CMV viremia (%) | 6.0 | 35.7 | < 0.001* |
| Biopsy proven rejection (%) | 29.8 | 39.3 | 0.41 |
| Invasive fungal infections (%) | 1.2 | 7.1 | 0.01* |
| Clostridium difficile or norvirus diarrheal illness (%) | 2.4 | 10.7 | 0.11 |
| - Norovirus (%) | 0 | 3.6 | |
| - Clostridium difficile (%) | 2.4 | 7.1 |
P-values less than 0.05 are highlighted with an*
Predictors of PJP occurrence using logistic regression
| Variables | Odds ratio | 95% Confidence interval | |
|---|---|---|---|
| Age (per 10 years increase) | 1.35 | 0.91–2.01 | 0.14 |
| HLA mismatch > 3 | 2.41 | 0.95–6.12 | 0.06 |
| BK viremia | 1.53 | 0.23–10.20 | 0.66 |
| CMV viremia | 6.27 | 1.94–20.23 | 0.002* |
| Invasive fungal infections | 2.10 | 0.92–4.83 | 0.08 |
Model included variables identified as significantly associated with PJP on univariate analysis. P-values less than 0.05 are highlighted with an*
Detailed clinical characteristics of patients with CMV viremia who were subsequently diagnosed with PJP
| Time from transplant to PJP diagnosis (years) | Time from CMV viremia to PJP diagnosis (months) | Peak CMV viral load in the year prior to PJP diagnosis (IU/mL) | Viremia present at time of PJP diagnosis | Valganciclovir therapy at time of PJP diagnosis | Ganciclovir-resistant CMV | |
|---|---|---|---|---|---|---|
| Patients with PJP who had CMV viremia in the year preceding diagnosis of PJP | ||||||
| 1 | 11.9 | 0.9 | 826 | No | Yes | No |
| 2 | 7.3 | 3.0 | 6105 | Yes | Yes | No |
| 3 | 7.5 | 1.7 | 1264 | No | Yes | No |
| 4 | 1.1 | 0.9 | 1150 | Yes | Yes | Yes |
| 5 | 1.3 | 11.8 | 93,300 | Yes | Yes | No |
| 6 | 1.4 | 11.5 | 387 | Yes | No | No |
| 7 | 11.9 | 5.6 | 184,559 | No | Yes | No |
| 8 | 1.9 | 11.8 | 139,535 | No | No | No |
| 9 | 0.8 | 3.4 | 1034 | Yes | Yes | No |
| Patients with PJP who had history of CMV viremia more than one year prior to diagnosis of PJP | ||||||
| 1 | 16.8 | 92.1 | NA | NA | NA | No |
Fig. 2a Kaplan-Meier curve for patient survival in transplant recipients with and without PJP (p < 0.001) ‘Follow-up time’ represents time since diagnosis of PJP in transplant recipients with PJP, and corresponding time point in controls selected using incidence density sampling. b Kaplan-Meier curve for graft survival in transplant recipients with and without PJP (p < 0.001). ‘Follow-up time’ represents time since diagnosis of PJP in transplant recipients with PJP, and corresponding time point in controls selected using incidence density sampling. c Kaplan-Meier curve for death-censored graft survival in transplant recipients with and without PJP (p = 0.316). ‘Follow-up time’ represents time since diagnosis of PJP in transplant recipients with PJP, and corresponding time point in controls selected using incidence density sampling