Graft-versus-host disease in patients with bone marrow transplants: A retrospective study analyzing outcomes and healthcare burden in US hospitals.

BACKGROUND: Graft-versus-host disease (GVHD) is a recognized complication among individuals undergoing bone marrow transplantation (BMT). There is a requirement for supplementary data regarding the in-patient outcomes of GVHD in individuals who have undergone BMT. Our analysis seeks to assess the healthcare burden and outcomes associated with GVHD in hospitalized patients who have undergone BMT. METHOD: In this retrospective study, we used data from the National Inpatient Sample (NIS) database spanning from 2016 to 2019. Utilizing ICD-10 codes, we distinguished hospitalizations related to BMT and grouped them into two categories: those with GVHD and those without GVHD. Our areas of focus included in-hospital mortality, length of stay, charges, and associations related to GVHD. Unadjusted odds ratios/coefficients were computed through univariable analysis, followed by adjusted odds ratios (aORs)/coefficients from multivariable analysis that considered potential confounding factors. RESULTS: From 2016 to 2019, data were collected from 13,999 hospitalizations with bone marrow transplants. Among them, 836 had GVHD cases. Patient characteristics showed slight differences in mean age and demographics between the two groups, with GVHD patients having a mean age of 51.61 years and higher percentages of males and whites. Analyzing outcomes, patients with GVHD experienced significantly longer hospital stays (41.4 days vs. 21.3 days) and higher total hospital charges ($824,058 vs. $335,765). Adjusting for confounding factors, GVHD posed a substantial risk. The aOR for mortality in GVHD hospitalizations was 7.20 (95% CI: 5.54-9.36, p < .001). The coefficient for the length of stay was 19.36 days (95% CI: 17.29-21.42, p < .001), and the coefficient for total hospital charges was $453,733 (95% CI: $396,577 to $510,889, p < .001) in GVHD cases. Furthermore, GVHD in patients was associated with elevated risks of various medical conditions. The aORs for sepsis, pneumonia, acute respiratory failure, intubation and mechanical ventilation, Clostridium difficile infection, and acute kidney injury (AKI) in GVHD patients were 2.79 (95% CI: 2.28-3.41, p < .001), 3.30 (95% CI: 2.57-4.24, p < .001), 5.10 (95% CI: 4.01-6.49, p < .001), 4.88 (95% CI: 3.75-6.34, p < .001), 1.45 (95% CI: 1.13-1.86, p = .003), and 3.57 (95% CI: 2.97-4.29, p < .001). CONCLUSION: GVHD in individuals undergoing BMT is linked to elevated mortality rates, prolonged hospitalization, and higher healthcare costs. Moreover, they face a significantly increased risk of developing complications, such as sepsis, pneumonia, acute respiratory failure, C. difficile infection, and AKI. These results underscore the critical need for vigilant monitoring and effective GVHD management to improve patient outcomes and reduce the complications associated with BMT. Nevertheless, further prospective studies are essential to obtain a more profound understanding and a comprehensive assessment of outcomes in these hospitalized patients.

Disseminated Intravascular Coagulation in Acute Promyelocytic Leukemia Patients: A Retrospective Analysis of Outcomes and Healthcare Burden in US Hospitals

Objective: Acute promyelocytic leukemia (APL) is associated with an elevated risk of developing disseminated intravascular coagulation (DIC). The purpose of this study was to assess the outcomes of hospitalizations related to DIC in APL and their impact on healthcare. Materials and Methods: This study entailed a cross-sectional and retrospective analysis of the US National Inpatient Sample database. We identified adults with APL and categorized them into groups of patients with and without DIC. Our focus areas included in-hospital mortality, length of stay, charges, and complications associated with DIC. Unadjusted odds ratios/coefficients were computed in univariate analysis, followed by adjusted odds ratios (aOR)/coefficients from multivariate analysis that accounted for confounding factors. Results: Our analysis revealed that APL patients with DIC had a substantially higher aOR for mortality (aOR: 6.68, 95% confidence interval [CI]: 4.76-9.37, p<0.001) and a prolonged length of stay (coefficient: 10.28 days, 95% CI: 8.48-12.09, p<0.001) accompanied by notably elevated total hospital charges (coefficient: $215,512 [95% CI: 177,368-253,656], p<0.001), thereby emphasizing the reality of extended medical care and economic burden. The presence of DIC was associated with increased odds of sepsis, vasopressor support, pneumonia, acute respiratory failure, intubation/mechanical ventilation, and acute kidney injury, reflecting heightened vulnerability to these complications. Patients with DIC demonstrated significantly higher odds ratios for major bleeding, intracranial hemorrhage, gastrointestinal bleeding, red blood cell transfusion, platelet transfusion, fresh frozen plasma transfusion, and cryoprecipitate transfusion, highlighting the pronounced hematological risks posed by DIC. Conclusion: This study has revealed the significant associations between DIC in APL and various outcomes, underscoring the clinical and economic implications of these conditions. The hematological risks further increase patients' vulnerability to bleeding events and the need for transfusions.

The Impact of Donor Smoking on Primary Graft Dysfunction and Mortality after Lung Transplantation.

Rationale: Primary graft dysfunction (PGD) is the leading cause of early morbidity and mortality after lung transplantation. Prior studies implicated proxy-defined donor smoking as a risk factor for PGD and mortality. Objectives: We aimed to more accurately assess the impact of donor smoke exposure on PGD and mortality using quantitative smoke exposure biomarkers. Methods: We performed a multicenter prospective cohort study of lung transplant recipients enrolled in the Lung Transplant Outcomes Group cohort between 2012 and 2018. PGD was defined as grade 3 at 48 or 72 hours after lung reperfusion. Donor smoking was defined using accepted thresholds of urinary biomarkers of nicotine exposure (cotinine) and tobacco-specific nitrosamine (4-[methylnitrosamino]-1-[3-pyridyl]-1-butanol [NNAL]) in addition to clinical history. The donor smoking-PGD association was assessed using logistic regression, and survival analysis was performed using inverse probability of exposure weighting according to smoking category. Measurements and Main Results: Active donor smoking prevalence varied by definition, with 34-43% based on urinary cotinine, 28% by urinary NNAL, and 37% by clinical documentation. The standardized risk of PGD associated with active donor smoking was higher across all definitions, with an absolute risk increase of 11.5% (95% confidence interval [CI], 3.8% to 19.2%) by urinary cotinine, 5.7% (95% CI, -3.4% to 14.9%) by urinary NNAL, and 6.5% (95% CI, -2.8% to 15.8%) defined clinically. Donor smoking was not associated with differential post-lung transplant survival using any definition. Conclusions: Donor smoking associates with a modest increase in PGD risk but not with increased recipient mortality. Use of lungs from smokers is likely safe and may increase lung donor availability. Clinical trial registered with www.clinicaltrials.gov (NCT00552357).

Development and validation of primary graft dysfunction predictive algorithm for lung transplant candidates.

BACKGROUND: Primary graft dysfunction (PGD) is the leading cause of early morbidity and mortality after lung transplantation. Accurate prediction of PGD risk could inform donor approaches and perioperative care planning. We sought to develop a clinically useful, generalizable PGD prediction model to aid in transplant decision-making. METHODS: We derived a predictive model in a prospective cohort study of subjects from 2012 to 2018, followed by a single-center external validation. We used regularized (lasso) logistic regression to evaluate the predictive ability of clinically available PGD predictors and developed a user interface for clinical application. Using decision curve analysis, we quantified the net benefit of the model across a range of PGD risk thresholds and assessed model calibration and discrimination. RESULTS: The PGD predictive model included distance from donor hospital to recipient transplant center, recipient age, predicted total lung capacity, lung allocation score (LAS), body mass index, pulmonary artery mean pressure, sex, and indication for transplant; donor age, sex, mechanism of death, and donor smoking status; and interaction terms for LAS and donor distance. The interface allows for real-time assessment of PGD risk for any donor/recipient combination. The model offers decision-making net benefit in the PGD risk range of 10% to 75% in the derivation centers and 2% to 10% in the validation cohort, a range incorporating the incidence in that cohort. CONCLUSION: We developed a clinically useful PGD predictive algorithm across a range of PGD risk thresholds to support transplant decision-making, posttransplant care, and enrich samples for PGD treatment trials.

Castleman disease- demographics, associations, and outcomes: an analysis of adult 791 cases.

BACKGROUND: Castleman disease (CD), also known as angiofollicular lymph node hyperplasia or large lymph node hyperplasia, is a rare medical condition. Despite its rarity, it exhibits diverse clinical presentations and outcomes, which pose challenges for comprehensive understanding and management. This study aims to shed light on the demographics, associations, and outcomes of CD by conducting a retrospective analysis. METHODS: The National Inpatient Sample (US) was used to identify patients with the diagnosis of Castleman disease using ICD-10 diagnosis code D47.Z2, during the years 2016-2019. Data was collected on demographics, associated diagnoses, treatments and outcomes. Data analysis was performed using STATA Version 17, College Station, TX: Stata Corp LLC. RESULTS: Our study identified 791 hospitalizations involving adult CD patients. The mean age of these patients was 52.4 years, with a male predominance (56.1%). Whites comprised the largest racial group affected (50.1%). Most patients were covered by Medicare (39.6%). The majority received treatment in urban teaching hospitals (84.0%) and large-bed size facilities (62.5%). In-hospital mortality was low at 2.8%, with an average length of stay of 7.5 days and average total charges of $109,308. Common associations included acute kidney injury (27.0%), congestive heart failure (17.1%), sepsis (16.4%), and acute respiratory failure (12.6%). Hematological and lymphatic associations featured anemia (47.5%), thrombocytopenia (12.2%), and other conditions. Red blood cell transfusions were administered to 11.1% of patients. CONCLUSION: This study contributes valuable insights into CD, a rare and clinically heterogeneous disease. It underscores the importance of recognizing its associations and complications. Additionally, it highlights the need for further research and improved diagnostic and treatment guidelines to address the complexity of this condition.

Cytokine Release Syndrome in Patients Treated With Chimeric Antigen Receptor T-cell Therapy: A Retrospective Study Analyzing Risks, Outcomes, and Healthcare Burden.

Background Chimeric antigen receptor T-cell (CAR-T) therapy has emerged as a promising immunotherapy for various malignancies. However, its use is associated with challenges, including cytokine release syndrome (CRS), a potentially severe complication. This retrospective study aims to analyze the risks, outcomes, and healthcare burden of CRS in patients undergoing CAR-T therapy. Method Data from the 2020 National Inpatient Sample (NIS) were utilized, comprising 415 CAR-T-related hospitalizations. They were categorized into those with CRS (n = 68) and those without CRS (n = 347). Baseline characteristics, including age, gender, race, income, insurance status, and comorbidities, were compared. Outcomes of interest included in-hospital mortality, length of stay (LOS), total hospital charges, and access to complications, associations, and interventions. Statistical analyses, including multivariable models, were employed to assess associations. Results Hospitalizations with CRS did not exhibit significant differences in age, gender, race, income, or insurance status compared to those without CRS. The multivariable analysis showed no statistically significant difference in mortality (adjusted odds ratio (aOR) = 2.48, 95% confidence interval (CI): 0.71 to 8.69, p = 0.151), LOS (coefficient = -2.1 days, 95% CI: -5.43 to 1.21, p = 0.207), or total hospital charges (coefficient = $207,456, 95% CI: $6119 to $421,031, p = 0.057) between the two groups. The CRS group had a higher incidence of fever (aOR = 1.91, 95% CI: 1.15 to 3.17, p = 0.014), acute respiratory failure (aOR = 2.10, 95% CI: 1.01 to 4.40, p= 0.049), and the need for intubation/mechanical ventilation (aOR = 2.59, 95% CI: 1.14 to 5.88, p = 0.024). Hemophagocytic lymphohistiocytosis (HLH) was significantly associated with CRS (aOR = 6.72, 95% CI: 2.03 to 22.18, p = 0.002). Conclusion While the development of CRS in CAR-T-treated patients did not significantly increase mortality, LOS, or total hospital charges, it was associated with specific risks and outcomes, including fever, respiratory failure, and HLH. This study emphasizes the importance of vigilance in recognizing and managing CRS in CAR-T therapy to optimize patient outcomes. The findings contribute valuable insights to guide clinical decision-making in the context of CAR-T therapy.