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AB1506 (2024)
POSTPARTUM HEMORRHAGE (PPH) OUTCOMES IN INDIVIDUALS WITH AUTOIMMUNE RHEUMATIC DISEASES (ARDS) IN COMPARISON TO INDIVIDUALS WITHOUT ARDS: INSIGHTS FROM NATIONAL INPATIENT SAMPLE 2015-2019
Keywords: Epidemiology, Real-world evidence, Registries
S. Piplani1, V. Jelic2, S. T. Kolli3, J. Reet3, V. R. Bejugam2, S. R. Goguri4, H. Sandhu5, C. Chao6, M. Radulovic2, C. Tagoe6, B. Johnson6
11Jacobi Medical Center/North Central Bronx, NYC Health and Hospitals, Albert Einstein College of Medicine, Internal Medicine, New York, United States of America
2Jacobi Medical Center/North Central Bronx, NYC Health and Hospitals, Albert Einstein College of Medicine, New York, United States of America
3Jacobi Medical Center/North Central Bronx, NYC Health and Hospitals, Albert Einstein College of Medicine, Internal Medicine, New York, United States of America
4Chaldea Anand Rao Institute of Medical Sciences, Medicine, Telangana, India
5Christian Medical College, Medicine, Punjab, India
6Montefiore Medical Center, Albert Einstein College of Medicine, Rheumatology, New York, United States of America

Background: Autoimmune Rheumatic Diseases (ARDs encompasses conditions like rheumatoid arthritis and lupus, have systemic impacts altering physiological responses. During pregnancy, ARDs pose additional risks, particularly in relation to postpartum haemorrhage (PPH), a leading cause of maternal death. This research delves into the connection between ARDs and PPH, aiming to identify variations in outcomes within this disease group.


Objectives: To explore postpartum hemorrhage (PPH) outcomes in individuals with and without ARDs in terms of transfusion, acute anemia, length of stay, total hospitalisation charges


Methods: The Nationwide Inpatient Sample database from 2015 to 2019 was utilized, and patients with principal ICD-10 diagnosis code of Post-Partum Hemorrhage. Secondary Diagnosis was used to incorporate variables which are associated with Postpartum Hemorrhage. The information was used with the most recent Health Care Utilization Project guidelines, employing weighted data for subsequent analysis. Univariate analysis utilized student’s t-test and chi-square, after that a multi variate regression model was built. This model was adjusted for hospital-level confounders and diverse co-morbidities, generating odds ratios. Significance was established at a P-value <0.05. The entire analysis was conducted using STATA-MP v14.2.


Results: For blood transfusion, both univariate (OR=0.91, 95% CI: 0.39-2.11, p=0.832) and multivariate (adjusted OR=0.92, 95% CI: 0.40-2.13, p=0.0857) show no significant associations. acute anemia exhibits non-significant findings in both univariate (OR=1.23, 95% CI: 0.64-2.37, p=0.520) and multivariate (adjusted OR=1.25, 95% CI: 0.65-2.39, p=0.488). Length of stay (LOS) lacks significance in both univariate (coefficient=-0.19, 95% CI: -0.36 to -0.32, p=0.911) and multivariate (adjusted coefficient=-014, 95% CI: -0.364 to 0.33, p=0.937). Total charges (TOT CHG) demonstrate non-significant results in univariate (mean diff=$324, 95% CI: -$5648 to -$6298, p=0.915) and multivariate (adjusted mean diff=$668, p=0.818).


Conclusion: The current study provides a framework for future research on the complex relationship between ARDs and PPH outcomes. Our findings suggest similar outcomes for patients with and without ARDs, but these conditions are complex and require ongoing research to understand their effects on maternal health. To better understand the relationship between ARDs and PPH, further investigation into disease-specific factors and complex relationships is needed.


REFERENCES: [1] Yasmeen S, Wilkins EE, Field NT, Sheikh RA, Gilbert WM. Pregnancy outcomes in women with systemic lupus erythematosus. J Matern Fetal Med. 2001 Apr;10(2):91-6. DOI: 10.1080/714904302. PMID: 11392599.

Features PPH with ARD PPH without ARD P-value
Total quantity of Instances 92975 264
Age (y) 29.7 y 30.86 y
Race 0.4321
White 49.49% 49.53%
Black 13.47% 7.69%
Hispanic 23.2% 17.31%
Asian 8.46% 9.62%
Native American 0.93% 0.01%
Others 4.46% 1.92%
Hospital Bed Size 0.9246
Small 19.52% 18.87%
Medium 27.75% 30.19%
Large 52.73% 50.94%
Hospital Teaching Location 0.6188
Rural 8.09% 9.42%
Urban-non teaching 13.92% 9.43%
Urban teaching 77.99% 81.83%
Hospital Region 0.1870
Northwest 16.94% 16.98%
Midwest 21.42% 32.08%
South 31.94% 20.75%
West 29.69% 30.19%
ZIP_INC_QTL 0.013
1 24.87% 28.3%
2 23.36% 24.53%
3 26.41% 28.3%
4 25.36% 18.87%
Outcome Univariate (OR (CI) P-value Multivariate OR(CI) P-value
Transfusion 0.91 (0.39-2.11) 0.832 0.92 (0.40-2.13) P=0.0857
Acute anemia 1.23 (0.64-2.37) 0.520 1.25 (0.65-2.39) P=0.488
LOS -0.19 (-0.36- -0.32) 0.911 -0.14 (-0.364-0.33) P=0.937
Total Hospitalization Charges $324 (-$5648-$6298) 0.915 $668 (-$2544 - $3569) P=0.818

Acknowledgements: NIL.


Disclosure of Interests: None declared.


DOI: 10.1136/annrheumdis-2024-eular.1431
Keywords: Epidemiology, Real-world evidence, Registries
Citation: , volume 83, supplement 1, year 2024, page 2123
Session: Across diseases (Publication Only)