Preexisting cardiovascular disease and inpatient arrhythmias after autologous stem cell transplantation for multiple myeloma: a National Inpatient Sample analysis

BACKGROUND: Autologous stem cell transplantation (ASCT) remains the standard for transplant-eligible multiple myeloma (MM) patients. However, data on inpatient arrhythmias among MM-ASCT hospitalizations with preexisting cardiovascular disease (CVD) remain limited. We evaluated present-on-admission (POA)-coded new-onset inpatient arrhythmias according to preexisting CVD status. METHODS: We analyzed the unweighted National Inpatient Sample (2016-2022) and identified adult MM-ASCT hospitalizations with valid POA indicators. Preexisting CVD included coronary artery disease, atrial fibrillation, valvular disease, conduction disorders, congestive heart failure, and prior cardiac arrest. The primary outcome was POA-coded new-onset inpatient arrhythmia. Secondary outcomes included length of stay, hospital charges, and discharge disposition. Firth's penalized logistic regression was used for sparse events, with LASSO regression performed as an exploratory sensitivity analysis. RESULTS: < 0.001). No clear differences were observed in length of stay, charges, or discharge disposition. CONCLUSIONS: New-onset inpatient arrhythmias were more frequent among MM-ASCT hospitalizations with preexisting CVD. These findings are hypothesis-generating and warrant validation in larger clinically adjudicated cohorts.

Authors

Institutions

Publication Details

Journal
Baylor University Medical Center Proceedings
Published
2026-08-14
DOI
https://doi.org/10.1080/08998280.2026.2716565
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preexisting cardiovascular disease and inpatient arrhythmias after autologous stem cell transplantation for multiple myeloma: a National Inpatient Sample analysis

Chanokporn Puchongmart, Sakditad Saowapa, Andrea Ortiz Maldonado, Ranju Kunwor et al.
Baylor University Medical Center Proceedings
Multiple Myeloma Research and Treatments
article

Preexisting cardiovascular disease and inpatient arrhythmias after autologous stem cell transplantation for multiple myeloma: a National Inpatient Sample analysis

Chanokporn Puchongmart, Sakditad Saowapa, Andrea Ortiz Maldonado, Ranju Kunwor, Hector Garcia Pleitez, Nehemias Guevara Rodriguez, Noemy Coreas, Dina Soliman, Lukman Tijani, Jonathan Hernandez Munoz, Ben Thiravetyan
article en

Abstract

BACKGROUND: Autologous stem cell transplantation (ASCT) remains the standard for transplant-eligible multiple myeloma (MM) patients. However, data on inpatient arrhythmias among MM-ASCT hospitalizations with preexisting cardiovascular disease (CVD) remain limited. We evaluated present-on-admission (POA)-coded new-onset inpatient arrhythmias according to preexisting CVD status. METHODS: We analyzed the unweighted National Inpatient Sample (2016-2022) and identified adult MM-ASCT hospitalizations with valid POA indicators. Preexisting CVD included coronary artery disease, atrial fibrillation, valvular disease, conduction disorders, congestive heart failure, and prior cardiac arrest. The primary outcome was POA-coded new-onset inpatient arrhythmia. Secondary outcomes included length of stay, hospital charges, and discharge disposition. Firth's penalized logistic regression was used for sparse events, with LASSO regression performed as an exploratory sensitivity analysis. RESULTS: < 0.001). No clear differences were observed in length of stay, charges, or discharge disposition. CONCLUSIONS: New-onset inpatient arrhythmias were more frequent among MM-ASCT hospitalizations with preexisting CVD. These findings are hypothesis-generating and warrant validation in larger clinically adjudicated cohorts.

Baylor University Medical Center Proceedings
Texas Tech University (US), European Society for Blood and Marrow Transplantation (FR), Saint Louis University (US), University of El Salvador (SV), Texas Tech University Health Sciences Center (US)
Good health and well-being
Openalex Percentile: Top 10%
Multiple Myeloma Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.