In hospital outcomes and mortality predictors of multiple myeloma on stroke hospitalizations: A multivariable logistic regression study on the National Inpatient Sample Database.

Authors

null

Zunairah Shah

Louis A Weiss Memorial Hospital, Chicago, IL

Zunairah Shah , Hafiz Muhammad Waqar Younas , Mohammad Ebad Ur Rehman , Amro Taha , Ali Shahbaz Shehbaz Baloch , Fadi Khir , Irisha Badu , Jawad Basit , Harigopal Sandhyavenu , Shehzad Ali , Faiz Anwer

Organizations

Louis A Weiss Memorial Hospital, Chicago, IL, Weiss Memorial Hospital, Chicago, IL, Rawalpindi Medical University, Rawalpindi, Pakistan, Onslow Memorial Hospital, Jacksonville, NC, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH

Research Funding

No funding received
None.

Background: Multiple Myeloma (MM) patients have a higher risk of stroke due to a hypercoagulable state. A study by Liu et al. 2014 reported a 1.23 times higher incidence of stroke in MM patients compared to the matched cohort. Another study by Lee et al. 2016 reported a 5-year estimated cumulative incidence rate of 7.45%. Bortezomib therapy is an independent risk factor for stroke. However, data on the inpatient outcomes of MM on stroke hospitalizations is limited. Therefore, we conducted a nationwide population-based study investigating in-hospital outcomes and mortality predictors of MM in stroke hospitalizations. Methods: The national inpatient sample database from 2016-2019 was queried to identify patients with a primary diagnosis of stroke and stratified based on the presence of MM as a secondary diagnosis. The adjusted odds ratios (aOR) of in-hospital outcomes were calculated using multivariable logistic regression using STATA v.17 software. The primary outcome was in-hospital mortality. Results: A total of 2,028,240 weighted hospitalizations with stroke were identified between 2016-2019, of which 4,240 were associated with MM. On adjusted analysis, stroke-MM patients have statistically significant higher odds of in-hospital mortality (aOR 1.33, CI 1.01-1.40, P<0.001). Furthermore, the presence of fluid and electrolyte imbalance, complicated diabetes mellitus, and coagulopathy were found to be independent predictors of mortality. However, the odds of major adverse cardiovascular events (MACE), acute myocardial infarction (AMI), and cardiac arrest were similar between stroke patients with and without MM. Bleeding risk was not assessed, given the low sample size. Additionally, no significant statistical difference was found between the two cohorts regarding the length of hospital stay and cost of hospital stay. Conclusions: Stroke patients with MM have significantly higher odds of in-hospital mortality than those without MM. Given the increased mortality risk, physicians should pay particular attention to optimizing the modifiable risk factors of stroke. Large-scale prospective trials are needed to identify the patients at the highest risk.

In-hospital outcomes of multiple myeloma on stroke hospitalizations.

Without MM, %With MM %Unadjusted Adjusted
OR (95% CI)P-valueaOR (95% CI)P-value
MACE190,490 (9.41)510 (12.03)1.65 (1.30-2.07)<0.0011.15 (0.92-1.42)0.23
In-hospital mortality78,090 (3.86)285 (6.72)1.79 (1.37-2.34)<0.0011.33 (1.01-1.40)0.04
AMI52,705 (2.60)150 (3.54)1.37 (0.95-1.97)0.090.91 (0.62-1.3)0.6
Cardiac Arrest9235 (0.46)35 (0.83)1.82 (0.86-3.82)0.111.15 (0.54-2.4)0.705
Length of stay (days)4.9 ± 6.55.28 ± 5.57----
Cost of hospital stay ($)62348.74 ± 84902.9462348.74 ± 84902.94----

OR: odd Ratio, aOR: adjusted odd Ratio.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Hematologic Malignancies—Plasma Cell Dyscrasia

Track

Hematologic Malignancies

Sub Track

Multiple Myeloma

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr e20048)

DOI

10.1200/JCO.2023.41.16_suppl.e20048

Abstract #

e20048

Abstract Disclosures

Similar Abstracts

First Author: Arun Kumar

First Author: Ayobami Gbenga Olafimihan

First Author: Samer Al Hadidi