RESUMO
INTRODUCTION AND HYPOTHESIS: The objective was to study the effect of immediate pre-operative warm-up using virtual reality simulation on intraoperative robot-assisted laparoscopic hysterectomy (RALH) performance by gynecology trainees (residents and fellows). METHODS: We randomized the first, non-emergent RALH of the day that involved trainees warming up or not warming up. For cases assigned to warm-up, trainees performed a set of exercises on the da Vinci Skills Simulator immediately before the procedure. The supervising attending surgeon, who was not informed whether or not the trainee was assigned to warm-up, assessed the trainee's performance using the Objective Structured Assessment for Technical Skill (OSATS) and the Global Evaluative Assessment of Robotic Skills (GEARS) immediately after each surgery. RESULTS: We randomized 66 cases and analyzed 58 cases (30 warm-up, 28 no warm-up), which involved 21 trainees. Attending surgeons rated trainees similarly irrespective of warm-up randomization with mean (SD) OSATS composite scores of 22.6 (4.3; warm-up) vs 21.8 (3.4; no warm-up) and mean GEARS composite scores of 19.2 (3.8; warm-up) vs 18.8 (3.1; no warm-up). The difference in composite scores between warm-up and no warm-up was 0.34 (95% CI: -1.44, 2.13), and 0.34 (95% CI: -1.22, 1.90) for OSATS and GEARS respectively. Also, we did not observe any significant differences in each of the component/subscale scores within OSATS and GEARS between cases assigned to warm-up and no warm-up. CONCLUSION: Performing a brief virtual reality-based warm-up before RALH did not significantly improve the intraoperative performance of the trainees.
Assuntos
Laparoscopia , Procedimentos Cirúrgicos Robóticos , Robótica , Feminino , Humanos , Simulação por Computador , Histerectomia , Competência ClínicaRESUMO
Desensitization has enabled incompatible living donor kidney transplantation (ILDKT) across HLA/ABO barriers, but added immunomodulation might put patients at increased risk of infections. We studied 475 recipients from our center from 2010 to 2015, categorized by desensitization intensity: none/compatible (n = 260), low (0-4 plasmaphereses, n = 47), moderate (5-9, n = 74), and high (≥10, n = 94). The 1-year cumulative incidence of infection was 50.1%, 49.8%, 66.0%, and 73.5% for recipients who received none, low, moderate, and high-intensity desensitization (P < .001). The most common infections were UTI (33.5% of ILDKT vs. 21.5% compatible), opportunistic (21.9% vs. 10.8%), and bloodstream (19.1% vs. 5.4%) (P < .001). In weighted models, a trend toward increased risk was seen in low (wIRR = 0.77 1.402.56 ,P = .3) and moderately (wIRR = 0.88 1.352.06 ,P = .2) desensitized recipients, with a statistically significant 2.22-fold (wIRR = 1.33 2.223.72 ,P = .002) increased risk in highly desensitized recipients. Recipients with ≥4 infections were at higher risk of prolonged hospitalization (wIRR = 2.62 3.574.88 , P < .001) and death-censored graft loss (wHR = 1.15 4.0113.95 ,P = .03). Post-KT infections are more common in desensitized ILDKT recipients. A subset of highly desensitized patients is at ultra-high risk for infections. Strategies should be designed to protect patients from the morbidity of recurrent infections, and to extend the survival benefit of ILDKT across the spectrum of recipients.
Assuntos
Transplante de Rim , Sistema ABO de Grupos Sanguíneos , Incompatibilidade de Grupos Sanguíneos , Rejeição de Enxerto/epidemiologia , Rejeição de Enxerto/etiologia , Sobrevivência de Enxerto , Humanos , Transplante de Rim/efeitos adversos , Doadores Vivos , TransplantadosRESUMO
Incompatible living donor kidney transplant recipients (ILDKTr) have pre-existing donor-specific antibody (DSA) that, despite desensitization, may persist or reappear with resulting consequences, including delayed graft function (DGF) and acute rejection (AR). To quantify the risk of DGF and AR in ILDKT and downstream effects, we compared 1406 ILDKTr to 17 542 compatible LDKT recipients (CLDKTr) using a 25-center cohort with novel SRTR linkage. We characterized DSA strength as positive Luminex, negative flow crossmatch (PLNF); positive flow, negative cytotoxic crossmatch (PFNC); or positive cytotoxic crossmatch (PCC). DGF occurred in 3.1% of CLDKT, 3.5% of PLNF, 5.7% of PFNC, and 7.6% of PCC recipients, which translated to higher DGF for PCC recipients (aOR = 1.03 1.682.72 ). However, the impact of DGF on mortality and DCGF risk was no higher for ILDKT than CLDKT (p interaction > .1). AR developed in 8.4% of CLDKT, 18.2% of PLNF, 21.3% of PFNC, and 21.7% of PCC recipients, which translated to higher AR (aOR PLNF = 1.45 2.093.02 ; PFNC = 1.67 2.403.46 ; PCC = 1.48 2.243.37 ). Although the impact of AR on mortality was no higher for ILDKT than CLDKT (p interaction = .1), its impact on DCGF risk was less consequential for ILDKT (aHR = 1.34 1.621.95 ) than CLDKT (aHR = 1.96 2.292.67 ) (p interaction = .004). Providers should consider these risks during preoperative counseling, and strategies to mitigate them should be considered.
Assuntos
Transplante de Rim , Função Retardada do Enxerto/etiologia , Rejeição de Enxerto/etiologia , Sobrevivência de Enxerto , Humanos , Transplante de Rim/efeitos adversos , Doadores Vivos , Estudos Retrospectivos , Fatores de RiscoRESUMO
Although minimized by expert evaluation, operative technique, and postoperative care, the extremely low risk of perioperative mortality following living kidney or liver donation will never be eliminated. Furthermore, anticipation of poor donor outcome may simultaneously be a source of anxiety for physicians and programs and also be a circumstance for which they are unprepared. We conducted a national survey of US transplant surgeons to understand experiences with and systemic preparedness for the event of a living donor death. Respondents represented 87 unique transplant programs (71 kidney and 16 liver donor programs). Perioperative deaths were rare, as expected. Although most respondents (N = 57, 64% of total respondents; 88% of liver programs) reported being moderately to extremely concerned about a future living donor death at their institution, only 30 (33% of total program respondents) had a written plan available in the case of such an event; 63% of programs would find guidance and recommendations useful. To help address this gap, the American Society of Transplantation Live Donor Community of Practice (AST LDCOP) developed Living Donor Crisis Management Plan Talking Points suitable to guide crisis plan development at transplant programs.
Assuntos
Gestão de Recursos da Equipe de Assistência à Saúde/organização & administração , Doadores Vivos/ética , Humanos , Transplante de Rim , Transplante de Fígado , Inquéritos e Questionários , Obtenção de Tecidos e ÓrgãosRESUMO
RATIONALE & OBJECTIVE: Compared with recipients of blood group ABO-compatible (ABOc) living donor kidney transplants (LDKTs), recipients of ABO-incompatible (ABOi) LDKTs have higher risk for graft loss, particularly in the first few weeks after transplantation. However, the decision to proceed with ABOi LDKT should be based on a comparison of the alternative: waiting for future ABOc LDKTs (eg, through kidney paired exchange) or for a deceased donor kidney transplant (DDKT). We sought to evaluate the patient survival difference between ABOi LDKTs and waiting for an ABOc LDKT or an ABOc DDKT. STUDY DESIGN: Retrospective cohort study of adults in the Scientific Registry of Transplant Recipients. SETTING & PARTICIPANTS: 808 ABOi LDKT recipients and 2,423 matched controls from among 245,158 adult first-time kidney-only waitlist registrants who did not receive an ABOi LDKT and who remained on the waitlist or received either an ABOc LDKT or an ABOc DDKT, 2002 to 2017. EXPOSURE: Receipt of ABOi LDKT. OUTCOME: Death. ANALYTICAL APPROACH: We compared mortality among ABOi LDKT recipients versus a weighted matched comparison population using Cox proportional hazards regression and Cox models that accommodated for changing hazard ratios over time. RESULTS: Compared with matched controls, ABOi LDKT was associated with greater mortality risk in the first 30 days posttransplantation (cumulative survival of 99.0% vs 99.6%) but lower mortality risk beyond 180 days posttransplantation. Patients who received an ABOi LDKT had higher cumulative survival at 5 and 10 years (90.0% and 75.4%, respectively) than similar patients who remained on the waitlist or received an ABOc LDKT or ABOc DDKT (81.9% and 68.4%, respectively). LIMITATIONS: No measurement of ABO antibody titers in recipients; eligibility of participants for kidney paired donation is unknown. CONCLUSIONS: Transplant candidates who receive an ABOi LDKT and survive more than 180 days posttransplantation experience a long-term survival benefit compared to remaining on the waitlist to potentially receive an ABOc kidney transplant.
Assuntos
Sistema ABO de Grupos Sanguíneos/imunologia , Rejeição de Enxerto/mortalidade , Transplante de Rim/mortalidade , Doadores Vivos , Sistema de Registros , Transplantados , Adulto , Feminino , Seguimentos , Rejeição de Enxerto/imunologia , Sobrevivência de Enxerto , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Taxa de Sobrevida/tendências , Estados Unidos/epidemiologiaRESUMO
Simple (Bosniak I) renal cysts are considered acceptable in living kidney donor selection in terms of cancer risk. However, they tend to increase in number and size over time and might compromise renal function in donors. To clarify their implications for long-term renal function, we characterized the prevalence of renal cysts in 454 individuals who donated at our center from 2000 to 2007. We estimated the association between the presence of cysts in the kidney remaining after nephrectomy (ie, retained cysts) and postdonation eGFR trajectory using mixed-effects linear regression. Donors with retained cysts (N = 86) were older (P < .001) and had slightly lower predonation eGFR (median 94 vs 98 mL/min/1.73 m2 , P < .01) than those without cysts. Over a median 7.8 years, donors with retained cysts had lower baseline eGFR (-8.7 -5.6 -2.3 mL/min/1.73 m2 , P < .01) but similar yearly change in eGFR (-0.4 0.02 0.4 mL/min/1.73 m2 , P = .2) compared to those without retained cysts. Adjusting for predonation characteristics, there was no difference in baseline eGFR (P = .6) or yearly change in eGFR (P > .9). There continued to be no evidence of an association when we considered retained cyst(s) ≥10 mm or multiple retained cysts (all P > .05). These findings reaffirm current practices of accepting candidates with simple renal cysts for donor nephrectomy.
Assuntos
Cistos , Doenças Renais Císticas , Falência Renal Crônica , Transplante de Rim , Cistos/etiologia , Taxa de Filtração Glomerular , Humanos , Rim , Doenças Renais Císticas/cirurgia , Falência Renal Crônica/cirurgia , Doadores Vivos , Nefrectomia , Estudos RetrospectivosRESUMO
BACKGROUND: Live kidney donors (LKDs) account for nearly a third of kidney transplants in the United States. While donor nephrectomy poses minimal post-surgical risk, LKDs face an elevated adjusted risk of developing chronic diseases such as hypertension, diabetes, and end-stage renal disease. Routine screening presents an opportunity for the early detection and management of chronic conditions. Transplant hospital reporting requirements mandate the submission of laboratory and clinical data at 6-months, 1-year, and 2-years after kidney donation, but less than 50% of hospitals are able to comply. Strategies to increase patient engagement in follow-up efforts while minimizing administrative burden are needed. We seek to evaluate the effectiveness of using small financial incentives to promote patient compliance with LKD follow-up. METHODS/DESIGN: We are conducting a two-arm randomized controlled trial (RCT) of patients who undergo live donor nephrectomy at The Johns Hopkins Hospital Comprehensive Transplant Center (MDJH) and the University of Maryland Medical Center Transplant Center (MDUM). Eligible donors will be recruited in-person at their first post-surgical clinic visit or over the phone. We will use block randomization to assign LKDs to the intervention ($25 gift card at each follow-up visit) or control arm (current standard of care). Follow-up compliance will be tracked over time. The primary outcome will be complete (all components addressed) and timely (60 days before or after expected visit date), submission of LKD follow-up data at required 6-month, 1-year, and 2-year time points. The secondary outcome will be transplant hospital-level compliance with federal reporting requirements at each visit. Rates will be compared between the two arms following the intention-to-treat principle. DISCUSSION: Small financial incentivization might increase patient compliance in the context of LKD follow-up, without placing undue administrative burden on transplant providers. The findings of this RCT will inform potential center- and national-level initiatives to provide all LKDs with small financial incentives to promote engagement with post-donation monitoring efforts. TRIAL REGISTRATION: ClinicalTrials.gov number: NCT03090646 Date of registration: March 2, 2017 Sponsors: Johns Hopkins University, University of Maryland Medical Center Funding: The Living Legacy Foundation of Maryland.
Assuntos
Assistência ao Convalescente , Transplante de Rim , Doadores Vivos , Motivação , Cooperação do Paciente , Adulto , Assistência ao Convalescente/economia , Baltimore , Seguimentos , Humanos , Complicações Pós-Operatórias/diagnóstico , Padrão de CuidadoRESUMO
The number of live kidney donors has declined since 2005. This decline parallels the evolving knowledge of risk for biologically related, black, and younger donors. To responsibly promote donation, we sought to identify declining low-risk donor subgroups that might serve as targets for future interventions. We analyzed a national registry of 77 427 donors and quantified the change in number of donors per 5-year increment from 2005 to 2017 using Poisson regression stratified by donor-recipient relationship and race/ethnicity. Among related donors aged <35, 35 to 49, and ≥50 years, white donors declined by 21%, 29%, and 3%; black donors declined by 30%, 31%, and 12%; Hispanic donors aged <35 and 35 to 49 years declined by 18% and 15%, and those aged ≥50 increased by 10%. Conversely, among unrelated donors aged <35, 35 to 49, and ≥50 years, white donors increased by 12%, 4%, and 24%; black donors aged <35 and 35 to 49 years did not change but those aged ≥50 years increased by 34%; Hispanic donors increased by 16%, 21%, and 46%. Unlike unrelated donors, related donors were less likely to donate in recent years across race/ethnicity. Although this decline might be understandable for related younger donors, it is less understandable for lower-risk related older donors (≥50 years). Biologically related older individuals are potential targets for interventions to promote donation.
Assuntos
Nefropatias/cirurgia , Transplante de Rim/tendências , Doadores Vivos , Obtenção de Tecidos e Órgãos/tendências , Adulto , Feminino , Humanos , Transplante de Rim/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Avaliação de Resultados em Cuidados de Saúde , Distribuição de Poisson , Sistema de Registros , Análise de Regressão , Risco , Coleta de Tecidos e Órgãos/estatística & dados numéricos , Coleta de Tecidos e Órgãos/tendências , Obtenção de Tecidos e Órgãos/estatística & dados numéricos , Estados Unidos , Doadores não RelacionadosRESUMO
Historically, exception points for hepatocellular carcinoma (HCC) led to higher transplant rates and lower waitlist mortality for HCC candidates compared to non-HCC candidates. As of October 2015, HCC candidates must wait 6 months after initial application to obtain exception points; the impact of this policy remains unstudied. Using 2013-2017 SRTR data, we identified 39 350 adult, first-time, active waitlist candidates and compared deceased donor liver transplant (DDLT) rates and waitlist mortality/dropout for HCC versus non-HCC candidates before (October 8, 2013-October 7, 2015, prepolicy) and after (October 8, 2015-October 7, 2017, postpolicy) the policy change using Cox and competing risks regression, respectively. Compared to non-HCC candidates with the same calculated MELD, HCC candidates had a 3.6-fold higher rate of DDLT prepolicy (aHR = 3.49 3.69 3.89 ) and a 2.2-fold higher rate of DDLT postpolicy (aHR = 2.09 2.21 2.34 ). Compared to non-HCC candidates with the same allocation priority, HCC candidates had a 37% lower risk of waitlist mortality/dropout prepolicy (asHR = 0.54 0.63 0.73 ) and a comparable risk of mortality/dropout postpolicy (asHR = 0.81 0.95 1.11 ). Following the policy change, the DDLT advantage for HCC candidates remained, albeit dramatically attenuated, without any substantial increase in waitlist mortality/dropout. In the context of sickest-first liver allocation, the revised policy seems to have established allocation equity for HCC and non-HCC candidates.
Assuntos
Carcinoma Hepatocelular/mortalidade , Neoplasias Hepáticas/mortalidade , Transplante de Fígado/mortalidade , Seleção de Pacientes , Alocação de Recursos/legislação & jurisprudência , Obtenção de Tecidos e Órgãos/estatística & dados numéricos , Listas de Espera/mortalidade , Idoso , Carcinoma Hepatocelular/patologia , Carcinoma Hepatocelular/cirurgia , Feminino , Seguimentos , Humanos , Neoplasias Hepáticas/patologia , Neoplasias Hepáticas/cirurgia , Masculino , Pessoa de Meia-Idade , Prognóstico , Estudos Prospectivos , Medição de Risco , Índice de Gravidade de Doença , Doadores de TecidosRESUMO
BACKGROUND: United States transplant centers are required to report follow-up data for living kidney donors for 2 years post-donation. However, living kidney donor (LKD) follow-up is often incomplete. Mobile health (mHealth) technologies could ease data collection burden but have not yet been explored in this context. METHODS: We conducted semi-structured in-depth interviews with a convenience sample of 21 transplant providers and thought leaders about challenges in LKD follow-up, and the potential role of mHealth in overcoming these challenges. RESULTS: Participants reported challenges conveying the importance of follow-up to LKDs, limited data from international/out-of-town LKDs, and inadequate staffing. They believed the 2-year requirement was insufficient, but expressed difficulty engaging LKDs for even this short time and inadequate resources for longer-term follow-up. Participants believed an mHealth system for post-donation follow-up could benefit LKDs (by simplifying communication/tasks and improving donor engagement) and transplant centers (by streamlining communication and decreasing workforce burden). Concerns included cost, learning curves, security/privacy, patient language/socioeconomic barriers, and older donor comfort with mHealth technology. CONCLUSIONS: Transplant providers felt that mHealth technology could improve LKD follow-up and help centers meet reporting thresholds. However, designing a secure, easy to use, and cost-effective system remains challenging.
Assuntos
Atenção à Saúde/organização & administração , Pessoal de Saúde/estatística & dados numéricos , Implementação de Plano de Saúde , Transplante de Rim/métodos , Doadores Vivos/provisão & distribuição , Telemedicina/organização & administração , Telemedicina/normas , Atenção à Saúde/normas , Seguimentos , Humanos , Entrevistas como Assunto , Nefrectomia/métodos , Obtenção de Tecidos e Órgãos/métodosRESUMO
BACKGROUND: As transplant centers start leveraging Twitter for information dissemination and public engagement, it is important to understand current living solid organ donation-related Twitter use. METHODS: We identified public Twitter profiles available in 01/2017 that referenced living organ donation and analyzed the use of donation-related Twitter handles, names, or profile information. Tweets were manually abstracted and qualitatively analyzed for common themes. Social media influence of those tweeting about living donation was evaluated using Klout score. RESULTS: We identified 93 donors, 61 professionals, 12 hospitals, and 19 organizations that met eligibility criteria. Social media influence was similar across these groups (P = 0.4). Donors (16%) and organizations (23%) were more likely than professionals (7%) or hospitals (0%) to include transplant-related educational information in their profiles (P = 0.007). Living donation-related tweets were most commonly donation stories (33%), news reports (20%), reports about new transplant research (15%), and sharing transplant candidates' searches for donors (14%). CONCLUSIONS: This exploratory study of living donors and transplant professionals, hospitals, and organizations on Twitter provides insight into how the social media platform may be used to communicate about and disseminate information about living donation.
Assuntos
Educação em Saúde/métodos , Disseminação de Informação/métodos , Doadores Vivos/provisão & distribuição , Transplante de Órgãos/psicologia , Mídias Sociais/estatística & dados numéricos , Cirurgiões/estatística & dados numéricos , Obtenção de Tecidos e Órgãos/organização & administração , Humanos , Doadores Vivos/psicologia , Transplante de Órgãos/estatística & dados numéricosRESUMO
BACKGROUND: Previous studies have reported a wide range of prevalence of post-donation anxiety, depression, and regret in living kidney donors (LKDs). It is also unclear what risk factors are associated with these outcomes. METHODS: We screened 825 LKDs for anxiety and depression using 2-item GAD-2 and PHQ-2 scales and asked about regret. RESULTS: Overall, 5.5% screened positive for anxiety, 4.2% for depression, and 2.1% reported regretting their donation. While there was moderate correlation between positive anxiety and depression screens (r = 0.52), there was no correlation between regret and positive screens (r < 0.1 for both). A positive anxiety screen was more likely in LKDs with a positive depression screen (adjusted relative risk [aRR] 13.72, 95% confidence interval [CI] 6.78-27.74, p < 0.001). Similarly, a positive depression screen was more likely in LKDs with a positive anxiety screen (aRR 19.50, 95% CI 6.94-54.81, p < 0.001), as well as in those whose recipients experienced graft loss (aRR 5.38, 95% CI 1.29-22.32, p = 0.02). Regret was more likely in LKDs with a positive anxiety screen (aRR 5.68, 95% CI 1.20-26.90, p = 0.03). This was a single center cross-sectional study which may limit generalizability and examination of causal effects. Also, due to the low prevalence of adverse psychosocial outcomes, we may lack power to detect some associations between donor characteristics and anxiety, depression, or regret. CONCLUSIONS: Although there is a low prevalence of anxiety, depression, and regret of donation among LKDs, these are interrelated conditions and a positive screen for one condition should prompt evaluation for other conditions.
Assuntos
Ansiedade/psicologia , Depressão/psicologia , Emoções , Transplante de Rim/psicologia , Doadores Vivos/psicologia , Nefrectomia/psicologia , Adulto , Ansiedade/diagnóstico , Ansiedade/epidemiologia , Estudos de Coortes , Estudos Transversais , Depressão/diagnóstico , Depressão/epidemiologia , Feminino , Seguimentos , Inquéritos Epidemiológicos/tendências , Humanos , Transplante de Rim/tendências , Masculino , Pessoa de Meia-Idade , Nefrectomia/tendências , Qualidade de Vida/psicologiaRESUMO
BACKGROUND: Desensitization protocols for HLA-incompatible living donor kidney transplantation (ILDKT) vary across centers. The impact of these, as well as other practice variations, on ILDKT outcomes remains unknown. METHODS: We sought to quantify center-level variation in mortality and graft loss following ILDKT using a 25-center cohort of 1358 ILDKT recipients with linkage to Scientific Registry of Transplant Recipients for accurate outcome ascertainment. We used multilevel Cox regression with shared frailty to determine the variation in post-ILDKT outcomes attributable to between-center differences and to identify any center-level characteristics associated with improved post-ILDKT outcomes. RESULTS: After adjusting for patient-level characteristics, only 6 centers (24%) had lower mortality and 1 (4%) had higher mortality than average. Similarly, only 5 centers (20%) had higher graft loss and 2 had lower graft loss than average. Only 4.7% of the differences in mortality (P < 0.01) and 4.4% of the differences in graft loss (P < 0.01) were attributable to between-center variation. These translated to a median hazard ratio of 1.36 for mortality and 1.34 of graft loss for similar candidates at different centers. Post-ILDKT outcomes were not associated with the following center-level characteristics: ILDKT volume and transplanting a higher proportion of highly sensitized, prior transplant, preemptive, or minority candidates. CONCLUSIONS: Unlike most aspects of transplantation in which center-level variation and volume impact outcomes, we did not find substantial evidence for this in ILDKT. Our findings support the continued practice of ILDKT across these diverse centers.
Assuntos
Rejeição de Enxerto/prevenção & controle , Sobrevivência de Enxerto/efeitos dos fármacos , Antígenos HLA/imunologia , Disparidades em Assistência à Saúde , Histocompatibilidade , Imunossupressores/uso terapêutico , Isoanticorpos/sangue , Transplante de Rim , Doadores Vivos , Padrões de Prática Médica , Adulto , Feminino , Rejeição de Enxerto/sangue , Rejeição de Enxerto/imunologia , Rejeição de Enxerto/mortalidade , Humanos , Imunossupressores/efeitos adversos , Transplante de Rim/efeitos adversos , Transplante de Rim/mortalidade , Masculino , Pessoa de Meia-Idade , Indicadores de Qualidade em Assistência à Saúde , Sistema de Registros , Medição de Risco , Fatores de Risco , Fatores de Tempo , Resultado do Tratamento , Estados UnidosRESUMO
The framework currently used for living kidney donor selection is based on estimation of acceptable donor risk, under the premise that benefits are only experienced by the recipient. However, some interdependent donors might experience tangible benefits from donation that cannot be considered in the current framework (ie, benefits experienced directly by the donor that improve their daily life, well-being, or livelihood). METHODS: We conducted semistructured interviews with 56 living kidney donors regarding benefits experienced from donation. Using a qualitative descriptive and constant comparative approach, themes were derived inductively from interview transcripts by 2 independent coders; differences in coding were reconciled by consensus. RESULTS: Of 56 participants, 30 were in interdependent relationships with their recipients (shared household and/or significant caregiving responsibilities). Tangible benefits identified by participants fell into 3 major categories: health and wellness benefits, time and financial benefits, and interpersonal benefits. Participants described motivations to donate a kidney based on a more nuanced understanding of the benefits of donation than accounted for by the current "acceptable risk" paradigm. DISCUSSION: Tangible benefits for interdependent donors may shift the "acceptable risk" paradigm (where no benefit is assumed) of kidney donor evaluation to a risk/benefit paradigm more consistent with other surgical decision-making.
RESUMO
BACKGROUND: Optimizing antithymocyte globulin (ATG) dosage is critical, particularly for high-risk kidney transplant (KT) recipients without cytomegalovirus (CMV) prophylaxis. METHODS: We studied 630 KT recipients with expanded criteria donors or panel reactive antibody ≥50% at Hospital do Rim, Brazil (January 1, 2013 to May 21, 2015) to determine whether a single ATG dose was safe and effective in patients without CMV prophylaxis. Patients received ≥4 doses (1-1.5 mg/kg/per dose) until June 17, 2014, when the induction protocol changed to a single ATG dose (3 mg/kg). We used Cox regression to compare the risk of CMV infection and acute rejection (AR) among KT recipients by ATG dose. RESULTS: Adjusting for clinical and transplant factors, a single ATG dose was associated with a lower risk of CMV infection (adjusted hazard ratio [aHR]: 0.63; 95% confidence interval [CI], 0.42-0.93; P = 0.02) and a similar risk of AR (aHR: 1.16; 95% CI, 0.47-2.83; P = 0.8), compared to multiple doses. We found no differences in death-censored graft loss (5.0% versus 4.8%, aHR: 1.06; 95% CI, 0.51-2.23; P = 0.9) or mortality (4.7% versus 3.4%; aHR: 1.42; 95% CI, 0.62-3.24; P = 0.4) at 1-year post-KT by ATG dose. CONCLUSIONS: In our study of high-risk KT recipients without CMV prophylaxis, a single ATG dose decreased the risk of CMV infection without increasing the risk of AR or compromising graft or patient survival.
Assuntos
Soro Antilinfocitário/administração & dosagem , Infecções por Citomegalovirus/prevenção & controle , Rejeição de Enxerto/prevenção & controle , Imunossupressores/administração & dosagem , Transplante de Rim , Adulto , Soro Antilinfocitário/efeitos adversos , Brasil , Infecções por Citomegalovirus/imunologia , Infecções por Citomegalovirus/mortalidade , Feminino , Rejeição de Enxerto/imunologia , Rejeição de Enxerto/mortalidade , Sobrevivência de Enxerto , Humanos , Hospedeiro Imunocomprometido , Imunossupressores/efeitos adversos , Incidência , Transplante de Rim/efeitos adversos , Transplante de Rim/mortalidade , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Medição de Risco , Fatores de Risco , Fatores de Tempo , Resultado do TratamentoRESUMO
BACKGROUND: HIV-infected (HIV+) donor to HIV+ recipient (HIV D+/R+) transplantation might improve access to transplantation for people living with HIV. However, it remains unknown whether transplant candidates living with HIV will accept the currently unknown risks of HIV D+/R+ transplantation. METHODS: We surveyed transplant candidates living with HIV from 9 US transplant centers regarding willingness to accept HIV+ donor organs. RESULTS: Among 116 participants, the median age was 55 years, 68% were men, and 78% were African American. Most were willing to accept HIV+ living donor organs (87%), HIV+ deceased donor organs (84%), and increased infectious risk donor organs (70%). Some (30%) were concerned about HIV superinfection; even among these respondents, 71% were willing to accept an HIV D+ organ. Respondents from centers that had already performed a transplant under an HIV D+/R+ transplantation research protocol were more willing to accept HIV+ deceased donor organs (89% vs. 71%, P = 0.04). Respondents who chose not to enroll in an HIV D+/R+ transplantation research protocol were less likely to believe that HIV D+/R+ transplantation was safe (45% vs. 77%, P = 0.02), and that HIV D+ organs would work similar to HIV D- organs (55% vs. 77%, P = 0.04), but more likely to believe they would receive an infection other than HIV from an HIV D+ organ (64% vs. 13%, P < 0.01). CONCLUSIONS: Willingness to accept HIV D+ organs among transplant candidates living with HIV does not seem to be a major barrier to HIV D+/R+ transplantation and may increase with growing HIV D+/R+ transplantation experience.
Assuntos
Infecções por HIV/virologia , HIV-1 , Doadores de Tecidos , Transplantados , Transplantes/virologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Transplante de Órgãos , Fatores de Risco , Transplantes/microbiologiaRESUMO
BACKGROUND: Many kidneys are discarded every year, with 3631 kidneys discarded in 2016 alone. Identifying kidneys at high risk of discard could facilitate "rescue" allocation to centers more likely to transplant them. The Probability of Delay or Discard (PODD) model was developed to identify marginal kidneys at risk of discard or delayed allocation beyond 36 hours of cold ischemia time. However, PODD has not been prospectively validated, and patterns of discard may have changed after policy changes such as the introduction of Kidney Donor Profile Index and implementation of the Kidney Allocation System (KAS). METHODS: We prospectively validated the PODD model using Scientific Registry of Transplant Recipients data in the KAS era (January 1, 2015, to March 1, 2018). C statistic was calculated to assess accuracy in predicting kidney discard. We assessed clustering in centers' utilization of kidneys with PODD >0.6 ("high-PODD") using Gini coefficients. Using match run data from January 1, 2015, to December 31, 2016, we examined distribution of these high-PODD kidneys offered to centers that never accepted a high-PODD kidney. RESULTS: The PODD model predicted discard accurately under KAS (C-statistic, 0.87). Compared with utilization of low-PODD kidneys (Gini coefficient = 0.41), utilization of high-PODD kidneys was clustered more tightly among a few centers (Gini coefficient, 0.84 with >60% of centers never transplanted a high-PODD kidneys). In total, 11684 offers (35.0% of all high-PODD offers) were made to centers that never accepted a high-PODD kidney. CONCLUSIONS: Prioritizing allocation of high-PODD kidneys to centers that are more likely to transplant them might help reduce kidney discard.
Assuntos
Transplante de Rim , Obtenção de Tecidos e Órgãos , Adulto , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Probabilidade , Estudos ProspectivosRESUMO
BACKGROUND: Every year, more than 5500 healthy people in the United States donate a kidney for the medical benefit of another person. The Organ Procurement and Transplantation Network (OPTN) requires transplant hospitals to monitor living kidney donors (LKDs) for 2 years postdonation. However, the majority (115/202, 57%) of transplant hospitals in the United States continue to fail to meet nationally mandated requirements for LKD follow-up. A novel method for collecting LKD follow-up is needed to ease both the transplant hospital-level and patient-level burden. We built mKidney-a mobile health (mHealth) system designed specifically to facilitate the collection and reporting of OPTN-required LKD follow-up data. The mKidney mobile app was developed on the basis of input elicited from LKDs, transplant providers, and thought leaders. OBJECTIVE: The primary objective of this study is to evaluate the impact of the mKidney smartphone app on LKD follow-up rates. METHODS: We will conduct a two-arm randomized controlled trial (RCT) with LKDs who undergo LKD transplantation at Methodist Specialty and Transplant Hospital in San Antonio, Texas. Eligible participants will be recruited in-person by a study team member at their 1-week postdonation clinical visit and randomly assigned to the intervention or control arm (1:1). Participants in the intervention arm will receive the mHealth intervention (mKidney), and participants in the control arm will receive the current standard of follow-up care. Our primary outcome will be policy-defined complete (all components addressed) and timely (60 days before or after the expected visit date) submission of LKD follow-up data at required 6-month, 1-year, and 2-year visits. Our secondary outcome will be hospital-level compliance with OPTN reporting requirements at each visit. Data analysis will follow the intention-to-treat principle. Additionally, we will collect quantitative and qualitative process data regarding the implementation of the mKidney system. RESULTS: We began recruitment for this RCT in May 2018. We plan to enroll 400 LKDs over 2 years and follow participants for the 2-year mandated follow-up period. CONCLUSIONS: This pilot RCT will evaluate the impact of the mKidney system on rates of LKD and hospital compliance with OPTN-mandated LKD follow-up at a large LKD transplant hospital. It will provide valuable information on strategies for implementing such a system in a clinical setting and inform effect sizes for future RCT sample size calculations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/11000.
RESUMO
BACKGROUND: Neighborhood poverty has been associated with worse outcomes after live donor kidney transplantation (LDKT), and prior work suggests that women with kidney disease may be more susceptible to the negative influence of poverty than men. As such, our goal was to examine whether poverty differentially affects women in influencing LDKT outcomes. METHODS: Using data from the Scientific Registry of Transplant Recipients and US Census, we performed multivariable Cox regression to compare outcomes among 18 955 women and 30 887 men who received a first LDKT in 2005-2014 with follow-up through December 31, 2016. RESULTS: Women living in poor (adjusted hazard ratio [aHR], 1.30; 95% confidence interval [CI], 1.13-1.50) and middle-income (aHR, 1.26; 95% CI, 1.14-1.40) neighborhoods had higher risk of graft loss than men, but there were no differences in wealthy areas (aHR, 1.07; 95% CI, 0.88-1.29). Women living in wealthy (aHR, 0.71; 95% CI, 0.59-0.87) and middle-income (aHR, 0.82; 95% CI, 0.74-0.92) neighborhoods incurred a survival advantage over men, but there were no statistically significant differences in mortality in poor areas (aHR, 0.85; 95% CI, 0.72-1.01). CONCLUSIONS: Given our findings that poverty is more strongly associated with graft loss in women, targeted efforts are needed to specifically address mechanisms driving these disparities in LDKT outcomes.
Assuntos
Rejeição de Enxerto/epidemiologia , Disparidades nos Níveis de Saúde , Falência Renal Crônica/cirurgia , Transplante de Rim/efeitos adversos , Pobreza/estatística & dados numéricos , Características de Residência/estatística & dados numéricos , Adulto , Feminino , Seguimentos , Rejeição de Enxerto/etiologia , Sobrevivência de Enxerto , Humanos , Doadores Vivos , Masculino , Pessoa de Meia-Idade , Sistema de Registros/estatística & dados numéricos , Fatores Sexuais , Transplantados/estatística & dados numéricos , Resultado do Tratamento , Estados UnidosRESUMO
BACKGROUND AND OBJECTIVES: Hypertension in older kidney donor candidates is viewed as safe. However, hypertension guidelines have evolved and long-term outcomes have not been explored. We sought to quantify the 15-year risk of ESKD and mortality in older donors (≥50 years old) with versus those without hypertension. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A United States cohort of 24,533 older donors from 1999 to 2016, including 2265 with predonation hypertension, were linked to Centers for Medicare and Medicaid Services data and the Social Security Death Master File to ascertain ESKD development and mortality. The exposure of interest was predonation hypertension. From 2004 to 2016, hypertension was defined as documented predonation use of antihypertensive therapy, regardless of systolic BP or diastolic BP; from 1999 to 2003, when there was no documentation of antihypertensive therapy, hypertension was defined as predonation systolic BP ≥140 or diastolic BP ≥90 mm Hg. RESULTS: Older donors were 82% white, 6% black, 7% Hispanic, and 3% Asian. The median follow-up was 7.1 years (interquartile range, 3.4-11.1; maximum, 18). There were 24 ESKD and 252 death events during the study period. The 15-year risk of ESKD was 0.8% (95% confidence interval [95% CI], 0.4 to 1.6) for donors with hypertension (mean systolic BP, 138 mm Hg) versus 0.2% (95% CI, 0.1 to 0.4) for donors without hypertension (mean systolic BP, 123 mm Hg; adjusted hazard ratio, 3.04; 95% CI, 1.28 to 7.22; P=0.01). When predonation antihypertensive therapy was available, the risk of ESKD was 6.21-fold higher (95% CI, 1.20 to 32.17; P=0.03) for donors using antihypertensive therapy (mean systolic BP, 132 mm Hg) versus those not using antihypertensive therapy (mean systolic BP, 124 mm Hg). There was no significant association between donor hypertension and 15-year mortality (hazard ratio, 1.18; 95% CI, 0.84 to 1.66; P=0.34). CONCLUSIONS: Compared with older donors without hypertension, older donors with hypertension had higher risk of ESKD, but not mortality, for 15 years postdonation. However, the absolute risk of ESKD was small.