scholarly journals Impact of Various Sizing Metrics on Female Donor to Male Recipient Heart Transplant Outcomes

2021 ◽  
Author(s):  
Nicholas Hess ◽  
Gavin Hickey ◽  
Ibrahim Sultan ◽  
Yisi Wang ◽  
Arman Kilic
Keyword(s):  
Heart Transplantation ◽  
Risk Adjustment ◽  
Strong Association ◽  
Weight Ratio ◽  
Orthotopic Heart Transplantation ◽  
Kaplan Meier ◽  
Female Donor ◽  
One Year ◽  
Matching Criteria ◽  
The Impact

Background: This study evaluated the impact of various sizing metrics on outcomes of female donor to male recipient orthotopic heart transplantation (OHT). Methods: We queried the United Network of Organ Sharing database to analyze all isolated, primary adult OHTs from 1/12010-3/20/2020. Patients were stratified by donor-recipient sex pairing. Logistic regression was used to investigate risk-adjusted effects of current size matching criteria (weight ratio, body mass index (BMI) ratio, predicted heart mass (pHM) ratio) on one-year post-transplant mortality. Kaplan-Meier analysis was used to compare posttransplant survival among cohorts. Results: A total of 22,450 patients were analyzed, of which 3,019 (13.4%) underwent female-to-male transplantation. Of sex-matched pairs, female-to-male donation had the lowest proportion of undersized hearts using weight and BMI ratio metrics (10.5% and 5.2%) but had the highest proportion of undersizing using pHM metrics (48.1%) (all P<0.001). Female-to-male recipients had the lowest rate of unadjusted one-year survival (90.0%, P = 0.0169), and increased hazards of mortality after risk adjustment (OR 1.17, 95% CI 1.01-1.36, P=0.034)). Undersizing using pHM (donor-recipient ratio < 0.85) was the only metric found to be associated in increased mortality after risk adjustment (OR 1.32, 95% CI 1.02 to 1.71, P=0.035). Conclusions: Female-to-male heart transplantation has the worst survival of all sex-matching combinations. Although female donors in this cohort are appropriately sized using traditional metrics, half are under-sized using pHM. This, combined with its strong association with mortality, underscores the importance of routine pHM assessment when evaluating female donors for male recipients.

Abstract 5852: The Impact of Donor-Recipient Gender Pairing On Survival Following Orthotopic Heart Transplantation - An Analysis Of Over 18,000 Matches

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Eric S Weiss ◽  
Nishant D Patel ◽  
Stuart D Russell ◽  
William A Baumgartner ◽  
Ashish S Shah ◽  
...  
Keyword(s):  
Heart Transplantation ◽  
Orthotopic Heart Transplantation ◽  
First Year ◽  
Cumulative Mortality ◽  
Kaplan Meier ◽  
Male Donor ◽  
Female Donor ◽  
Gender Pairing ◽  
One Year ◽  
Gender Matching

Introduction : Single institution series have suggested that donor-recipient gender matching may be an important factor influencing survival following orthotopic heart transplantation (OHT). The United Network for Organ Sharing (UNOS) database provides a unique and novel opportunity to address this issue by examining outcomes based on gender pairing for a large cohort of OHT patients. Methods : We retrospectively reviewed the UNOS dataset to identify 18,240 patients receiving first time OHT between the years 1998 and 2007. Stratification was by both donor and recipient gender so that 4 separate groups were created (male donor with male recipient, female donor with male recipient, male donor with female recipient, and female donor with female recipient). The primary endpoint of all cause mortality was compared between groups using a Cox proportional hazard regression model. Secondary outcomes (thirty day and one year mortality and rejection during the first year) were examined with multiple logistic regression. Post transplant survival was modeled via the Kaplan Meier method. Results : Of 18,240 patients, 12,951 (71%) were matched by gender to their donor (77% for male recipients, n= 10,750 and 51% for female recipients n= 2,201). A total of 4,543 patients died during the study period (25%). Donor-recipient gender matching resulted in a reduction in the risk of adjusted cumulative mortality (Hz ratio 0.86 [0.78–0.95], p= 0.003) and the greatest risk for cumulative mortality occurred when pairing a male donor with a female recipient (Hz ratio 1.2 [1.04–1.37], p= 0.01). Thirty day and one year mortality were also significantly decreased by gender pairing (OR 0.75 [0.61–0.95], p= 0.02 for 30 day mortality, and OR 0.8 [0.68–0.93], p= 0.005 for one year mortality). Gender pairing resulted in a 13% decrease in the risk of graft rejection within the first year (OR 0.87 [0.79–0.98], p= 0.02]. Kaplan Meier survival modeling revealed that the greatest cumulative survival occurred when a male recipient received an organ from a male donor (Figure) Conclusions : The UNOS dataset has provided a large sample examining donor recipient gender pairing in OHT. Recipients who receive organs for same sex donors have significantly improved short and long term survival.

scholarly journals Waitlist Weight Changes Impact Survival Following Heart Transplantation

2021 ◽  
Author(s):  
Nicholas Hess ◽  
Ryan Tedford ◽  
Brian Houston ◽  
Nicolas Pope ◽  
Lucas Witer ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Heart Transplantation ◽  
Weight Change ◽  
Secondary Analysis ◽  
Orthotopic Heart Transplantation ◽  
Weight Changes ◽  
One Year ◽  
The Impact ◽  
United Network

Background: This study investigated the impact of weight change in waitlisted candidates on posttransplant outcomes following orthotopic heart transplantation (OHT). Methods: The United Network for Organ Sharing database was queried to identify adult patients undergoing isolated, primary OHT from 1/1/2010 to 3/20/2020. Patients were stratified into 3 cohorts based on percent weight change from listing to OHT. The primary outcome was one-year survival, and multivariable modeling was used for risk-adjustment. A secondary analysis compared outcomes of recipients waitlisted ≥90 days. Results: A total of 22,360 patients were included, 18,826 (84.2%) with stable weight, 1,672 (7.5%) with ≥5% weight loss, and 1,862 (8.3%) with ≥5% weight gain. Median age was similar across cohorts. Waitlist time was longest in patients with weight gain and shortest in those with stable weight (417 vs 74 days, P<0.001). The weight loss cohort had higher rates of dialysis dependency, pacemaker, and drug-treated acute rejection at one year (all P<0.05). Ninety-day and one-year posttransplant survival was lowest in the weight loss cohort. Multivariable modeling identified both ≥5% weight loss (HR 1.26, 95% CI 1.07-1.48) and decreasing weight (per 1%, HR 1.02, 95% CI 1.01-1.03) as risk-adjusted predictors of one-year mortality. In sub-analysis of recipients waitlisted ≥90 days, ≥5% weight loss and decreasing weight remained significant independent predictors for mortality. Conclusion: Waitlisted OHT candidates with ≥5% weight loss comprised a small, but higher-risk population with increased rates of postoperative complications and decreased survival. Efforts focused on nutritional optimization and preventing weight loss while awaiting OHT appear warranted.

Malnutrition and biological frailty are independent and complementary predictors of one-year mortality in women after primary angioplasty for ST-segment elevation myocardial infarction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
R Arroyo-Espliguero ◽  
M.C Viana-Llamas ◽  
A Silva-Obregon ◽  
A Estrella-Alonso ◽  
C Marian-Crespo ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Mortality Rate ◽  
Primary Angioplasty ◽  
Prognostic Impact ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
Kaplan Meier ◽  
St Segment ◽  
One Year ◽  
The Impact

Abstract Background Malnutrition and sarcopenia are common features of frailty. Prevalence of frailty among ST-segment elevation myocardial infarction (STEMI) patients is higher in women than men. Purpose Assess gender-based differences in the impact of nutritional risk index (NRI) and frailty in one-year mortality rate among STEMI patients following primary angioplasty (PA). Methods Cohort of 321 consecutive patients (64 years [54–75]; 22.4% women) admitted to a general ICU after PA for STEMI. NRI was calculated as 1.519 × serum albumin (g/L) + 41.7 × (actual body weight [kg]/ideal weight [kg]). Vulnerable and moderate to severe NRI patients were those with Clinical Frailty Scale (CFS)≥4 and NRI&lt;97.5, respectively. We used Kaplan-Meier survival model. Results Baseline and mortality variables of 4 groups (NRI-/CFS-; NRI+/CFS-; NRI+/CFS- and NRI+/CFS+) are depicted in the Table. Prevalence of malnutrition, frailty or both were significantly greater in women (34.3%, 10% y 21.4%, respectively) than in men (28.9%, 2.8% y 6.0%, respectively; P&lt;0.001). Women had greater mortality rate (20.8% vs. 5.2%: OR 4.78, 95% CI, 2.15–10.60, P&lt;0.001), mainly from cardiogenic shock (P=0.003). Combination of malnutrition and frailty significantly decreased cumulative one-year survival in women (46.7% vs. 73.3% in men, P&lt;0.001) Conclusion Among STEMI patients undergoing PA, the prevalence of malnutrition and frailty are significantly higher in women than in men. NRI and frailty had an independent and complementary prognostic impact in women with STEMI. Kaplan-Meier and Cox survival curves Funding Acknowledgement Type of funding source: None

Heart Transplantation for Pediatric and Congenital Cardiac Disease: A Comparison of Two Eras over 23 Years and 188 Transplants at a Single Institution

2021 ◽  
Vol 12 (1) ◽  
pp. 17-26
Author(s):  
Genevieve C. Tuite ◽  
James A. Quintessenza ◽  
Alfred Asante-Korang ◽  
Sharon R. Ghazarian ◽  
Bethany L. Wisotzkey ◽  
...  
Keyword(s):  
Heart Transplantation ◽  
Multivariable Analysis ◽  
Immunosuppressive Agent ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Congenital Cardiac Disease ◽  
Cox Proportional Hazard Models ◽  
One Year ◽  
Patterns Of Practice ◽  
First Time

Background: To assess changes in patterns of practice and outcomes over time, we reviewed all patients who underwent heart transplantation (HTx) at our institution and compared two consecutive eras with significantly different immunosuppressive protocols (cohort 1 [80 HTx, June 1995-June 2006]; cohort 2 [108 HTx, July 2006-September 2018]). Methods: Retrospective study of 180 patients undergoing 188 HTx (June 1995-September 2018; 176 first time HTx, 10 second HTx, and 2 third HTx). In 2006, we commenced pre-HTx desensitization for highly sensitized patients and started using tacrolimus as our primary postoperative immunosuppressive agent. The primary outcome was mortality. Survival was modeled by the Kaplan-Meier method. Univariable and multivariable Cox proportional hazard models were created to identify prognostic factors for survival. Results: Our 188 HTx included 18 neonates, 85 infants, 83 children, and 2 adults (>18 years). Median age was 260.0 days (range: 5 days-23.8 years). Median weight was 7.5 kg (range: 2.2-113 kg). Patients in cohort 1 were less likely to have been immunosensitized preoperatively (12.5% vs 28.7%, P = .017). Nevertheless, Kaplan-Meier analysis suggested superior survival in cohort 2 ( P = .0045). Patients in cohort 2 were more likely to be alive one year, five years, and ten years after HTx. Multivariable analysis identified the earlier era (hazard ratio [HR] [95% confidence interval] for recent era = 0.32 [0.14-0.73]), transplantation after prior Norwood operation (HR = 4.44 [1.46-13.46]), and number of prior cardiac operations (HR = 1.33 [1.03-1.71]) as risk factors for mortality. Conclusions: Our analysis of 23 years of pediatric and congenital HTx reveals superior survival in the most recent 12-year era, despite the higher proportion of patients with elevated panel reactive antibody in the most recent era. This improvement was temporally associated with changes in our immunosuppressive strategy.

Abstract 16588: Using Machine Learning to Improve Survival Prediction After Heart Transplantation

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Brian Ayers ◽  
Toumas Sandhold ◽  
Igor Gosev ◽  
Sunil Prasad ◽  
Arman Kilic
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Heart Transplantation ◽  
Risk Prediction ◽  
Predictive Analytics ◽  
Predictive Performance ◽  
Orthotopic Heart Transplantation ◽  
Survival Prediction ◽  
One Year ◽  
Testing Set

Introduction: Prior risk models for predicting survival after orthotopic heart transplantation (OHT) have displayed only modest discriminatory capability. With increasing interest in the application of machine learning (ML) to predictive analytics in clinical medicine, this study aimed to evaluate whether modern ML techniques could improve risk prediction in OHT. Methods: Data from the United Network for Organ Sharing registry was collected for all adult patients that underwent OHT from 2000 through 2019. The primary outcome was one-year post-transplant mortality. Dimensionality reduction and data re-sampling were employed during training. The final ensemble model was created from 100 different models of each algorithm: deep neural network, logistic regression, adaboost, and random forest. Discriminatory capability was assessed using area under receiver-operating-characteristic curve (AUROC), net reclassification index (NRI), and decision curve analysis (DCA). Results: Of the 33,657 study patients, 26,926 (80%) were randomly selected for the training set and 6,731 (20%) as a separate testing set. One-year mortality was balanced between cohorts (11.0% vs 11.3%). The optimal model performance was a final ensemble ML model. This model demonstrated an improved AUROC of 0.764 (95% CI, 0.745-0.782) in the testing set as compared to the other models (Figure). Additionally, the final model demonstrated an improvement of 72.9% ±3.8% (p<0.001) in predictive performance as assessed by NRI compared to logistic regression. The DCA showed the final ensemble method improved risk prediction across the entire spectrum of predicted risk as compared to all other models (p<0.001). Conclusions: An ensemble ML model was able to achieve greater predictive performance as compared to individual ML models as well as logistic regression for predicting survival after OHT. This analysis demonstrates the promise of ML techniques in risk prediction in OHT.

Incidence and characterization of venous thromboembolic events (VTE) in patients with pancreatic cancer: Effect of timing of VTE on survival.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 4037-4037
Author(s):  
Maithili A Shethia ◽  
Aparna Hegde ◽  
Xiao Zhou ◽  
Michael J. Overman ◽  
Saroj Vadhan-Raj
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Survival Analysis ◽  
Kaplan Meier ◽  
Hazard Ratios ◽  
Venous Thromboembolic Events ◽  
Venous Thromboembolic ◽  
One Year ◽  
The Impact

4037 Background: Patients (pts) with pancreatic cancer are at high risk for VTE, and the occurrence of VTE can affect pts’ prognosis. The purpose of this study was to evaluate the incidence of VTE and the impact of timing of VTE (early vs. late) on survival. Methods: Medical record of 260 pts with pancreatic cancer, newly referred to UT MDACC during one year period from 1/1/2006 to 12/31/2006, were reviewed for the incidence of VTE during a 2-year follow-up period from the date of diagnosis. All VTE episodes were confirmed by radiologic studies. Survival analysis was conducted using Kaplan-Meier analysis and Cox proportional hazard models. Results: Of the 260 pts, 47 pts (18%) had 51 episodes of VTE during the 2-year follow-up. The median age of the pts with VTE was 61 years (range: 28-86) and 53% were males. Of the 47 pts with VTE, 27 (57%) had PE, 19 (40%) had DVT and 1 had concurrent PE/DVT. Three pts had recurrent VTE during the study period. Median follow-up time for OS was 192 days (range: 1-1652 days). Kaplan-Meier Survival analysis showed that those who developed VTE earlier (within 30 or 90 days) had shorter median overall survival (OS) compared with those who had VTE beyond these time points. The hazard ratios, 95% CI, and median OS at 1 year are summarized in the table below. Conclusions: The incidence of VTE is high in pts with pancreatic cancer. The timing of VTE had a significant impact on OS; pts who had an early development of VTE had a shorter overall survival. [Table: see text]

scholarly journals Psychological evolution and assessment in patients undergoing orthotopic heart transplantation

2001 ◽  
Vol 16 (3) ◽  
pp. 180-185 ◽  
Author(s):  
J.M. Triffaux ◽  
J. Wauthy ◽  
J. Bertrand ◽  
R. Limet ◽  
A. Albert ◽  
...  
Keyword(s):  
Social Support ◽  
Heart Transplantation ◽  
General Health ◽  
Surgical Intervention ◽  
Psychological Status ◽  
Orthotopic Heart Transplantation ◽  
Axis I ◽  
Psychological Evolution ◽  
Transplant Candidates ◽  
The Impact

SummaryBackground. Orthotopic heart transplantation (OHT) is a major surgical intervention inducing distress and anxiety. Psychiatric evaluation of organ transplant candidates is now routinely proposed. This study purposed to assess the psychological evolution in patients having received psychological and/or psychiatric assistance before and during 1–6 postoperative months. Methods. Twenty-two consecutive transplant candidates were psychically evaluated as part of the preoperative protocol. In the waiting period, 1 and 6 months after OHT, they were asked to fill out the following questionnaires: the General Health Questionnaire, the Spielberger’s State-Trait Anxiety Inventory, the Beck Depression Inventory, the Perceived Social Support Scale, the Toronto Alexithymia Scale and the Personal Reaction Inventory. Results. A DSM-IV Axis I diagnosis was found in nine patients (41%); four patients (18%) presented with an Axis II diagnosis. One month after OHT, scores of depression, anxiety and general health significantly improved, while scores of social support, alexithymia and social desirability did not differ. In the sixth postoperative month, all psychological scores remained stable. Conclusions. A high prevalence of preoperative psychopathology was reported in 22 candidates who received OHT. Surgical intervention obviously improved the quality of life after cardiac transplantation. If the impact of psychological and/or psychiatric aid remains difficult to appraise, these results emphasize the positive impact of surgery on psychological status and the appropriateness of the psychosomatician’s social support intervention on patients facing the transplant process.

Pediatric Heart Transplantation Long-Term Survival in Different Age and Diagnostic Groups: Analysis of a National Database

2017 ◽  
Vol 8 (3) ◽  
pp. 337-345 ◽  
Author(s):  
Tarek Alsaied ◽  
Muhammad S. Khan ◽  
Raheel Rizwan ◽  
Farhan Zafar ◽  
Chesney D. Castleberry ◽  
...  
Keyword(s):  
Heart Transplantation ◽  
Organ Procurement ◽  
Weight Ratio ◽  
National Database ◽  
Term Survival ◽  
Long Term Survival ◽  
Factors Associated ◽  
Caucasian Race ◽  
One Year

Background: The purpose of this study was to evaluate differences in long-term survival without the influence of early mortality, and to identify factors associated with one-year conditional ten-year survival after heart transplantation (HTx) across different age and diagnostic groups. Methods: Organ Procurement and Transplant Network data from January 1990 to December 2005 were used. Cohort was divided according to age (infants [<1 year], children [>1-10 years], and adolescents [11-18 years]) and diagnosis (cardiomyopathy and congenital heart disease [CHD]). Factors associated with one-year conditional ten-year survival were identified using multivariable logistic regression and using a case–control design. Results: One-year conditional ten-year survivors included 1,790 patients compared to 1,114 patients who died after the first posttransplant year and within ten years of transplant with a median follow-up of 4.8 years. Predictors of one-year conditional ten-year survival for infants were recipient’s Caucasian race (odds ratio [OR]: 1.9, 95% confidence interval [CI]: 1.3-2.7) and donor–recipient weight ratio (OR: 0.8, 95% CI: 0.6-1); for children: Caucasian race (OR: 1.6, 95% CI: 1.2-2.1), retransplantation (OR: 0.4, 95% CI: 0.2-0.6), and transplantation after the year 2000 (OR: 1.5, 95% CI: 1.1-2.1); for adolescents only Caucasian race (OR: 2.5, 95% CI: 1.9-2.3). In both CHD and cardiomyopathy, adolescents had worse survival compared to infants and children. There was an era effect with improved survival after 2000. Male gender was a predictor of survival in cardiomyopathy group. Conclusion: Predictors of one-year conditional ten-year survival varied among groups. These data and analyses provide important information that may be useful to clinicians, particularly when counseling patients and families regarding expectations of survival after pediatric HTx.

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