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Chaudhary, Ajay Kumar

https://orcid.org/0000-0001-8814-0312

Mayo Clinic

Mayo Clinic in Florida

Citations 2

Impact of Pre-transplant Mechanical Ventilation Duration on Early Post-heart Transplant Outcomes: A Retrospective Analysis
Chaudhary, Ajay Kumar , Bhusal, S. , Karki, Dhan Bahadur , Sanghavi, Devang , SAHAJWANI, JUHI , Chaudhary, S., Karki, D., Bhattacharyya, A., Guru, Pramod

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A1867-A1867

10.1164/ajrccm.2025.211.abstracts.a1867 Get It

Abstract Rationale: Mechanical ventilation is frequently required in heart transplant patients to support recovery, but prolonged ventilation may increase the risk of complications and mortality. This study is done to find the impact of pre-transplant ventilation duration on early post-transplant outcomes, including mortality, ICU stay, infection, and respiratory complications. Methods: This retrospective analysis includes 52 heart transplant recipients from Mayo Clinic (2019-2023) who required pre-transplant mechanical ventilation. We analyzed ventilation duration's relationship with ICU and hospital stay, infection rates, respiratory complications, mortality, and baseline demographics. Chi-squared and Mann-Whitney U tests were used to evaluate associations between co-morbidities, ventilation duration, and outcomes. Results: The mean age at transplant was 48.9±14 years. Average ventilation duration was 12.8±14.2 days (Median: 7 days), ICU stay was 24.8± 20.9 days (Median: 15.0 days), and hospital stay was 58±40.8 days (Median: 48 days). Of the patients, 5 (9.6%) did not survive. There was no statistically significant association between mortality and ventilation duration, with a mean duration of 12.7±14.6 days (Median: 7 days) for survivors and 13.6±11.5 days (Median: 21 days) for non-survivors (p>0.05). Patients with infections 23 (44.2%) or respiratory complications 17 (32.7%) had longer ventilation durations (mean 16.3±17.8 days, Median: 9 and 10 days, respectively) compared to those without complications (mean 10±10.2 days, Median: 6 and 5 days, p>0.05). Infection was associated with extended ICU stays (mean 27.5±22.3 days, Median: 18 days with infection vs. 22.7±19.9 days, Median: 15 days without infection). None of the individual co-morbidities (diabetes, hypertension, stroke, chronic kidney disease) significantly impacted mortality or ventilation duration (p > 0.05). Conclusions: Prolonged ventilation is associated with increased rates of infections and respiratory complications but not with mortality in this cohort. Although co-morbidities did not significantly impact ventilation duration or mortality, infection remains a critical factor related to extended ICU stay. Future research should explore preventative strategies for infections in ventilated heart transplant recipients to improve outcomes.
Role of Postoperative Hemodynamics and Clinical Parameters in Predicting Mortality and Complications Post-heart Transplant
Bhusal, S. , Chaudhary, Ajay Kumar , Karki, Dhan Bahadur , SAHAJWANI, JUHI , Patel, Parag J. , Chaudhary, S., Guru, Pramod , Karki, D., Patel, P.

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A1866-A1866

10.1164/ajrccm.2025.211.abstracts.a1866 Get It

Abstract Rationale: Early management after heart transplantation is essential for survival and quality of life, but we lack data on how initial clinical measures might predict patient outcomes. This study investigates whether early postoperative hemodynamic and clinical parameters can predict 1-year mortality and complications. Methods: We conducted a retrospective study of 550 heart transplant patients treated at the Mayo Clinic from 2019 to 2023. Demographic, hemodynamic, and clinical data, including Central Venous Pressure (CVP), Pulmonary Arterial Pressure (PAP), cardiac index, Pulmonary Artery Pulsatility Index (PaPi), blood pressure, heart rate, and Vasoactive-Inotropic Score (VIS), were collected. Key outcomes included 1-year mortality, Intensive Care Unit (ICU) and hospital stay durations, and complications such as respiratory issues and Acute Kidney Injury (AKI). Patients were divided into quartiles based on VIS scores to compare clinical outcomes. Logistic regression assessed how each parameter predicted 1-year mortality. Results: The patients’ mean age was 53.3±13.1 years, with 391 (71.1%) male and an average Body Mass Index (BMI) of 27.5±4.9. The median ICU stay was 9 days (Interquartile Range [IQR]: 4-22.8), and the median hospital stay was 35 days (IQR: 17-57.8). Within one year, 28 (5.1%) patients experienced mortality and ICU readmission occurred in 52 (9.5%) patients. Higher VIS quartiles were associated with worse outcomes. Logistic regression revealed three significant predictors of 1-year mortality: higher CVP (p=0.0305) and lower Systolic Blood Pressure (SBP) (p=0.0484) were linked to increased mortality risk, while each unit increase in VIS (p=0.0355) raised mortality odds by 6% (Odds Ratio [OR]: 1.06, 95% Confidence Interval [CI]: 1.004-1.113). Additionally, respiratory complications were seen in 177 (32.2%) patients, and AKI in 407 (74.0%) patients. AKI significantly predicted mortality (OR=2.50, p=0.044), while both ICU readmission (OR=2.98, p<0.001) and AKI (OR=3.49, p<0.001) predicted respiratory complications. Conclusions: Early postoperative hemodynamic and clinical parameters, especially higher VIS scores, are significant indicators of 1-year mortality in heart transplant patients. These findings highlight the importance of early assessment to identify high-risk patients and potentially guide post-transplant management strategies.