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AB0193 (2024)
30-DAY READMISSION IN PATIENTS WITH SEPTIC ARTHRITIS AND IDENTIFYING INDEPENDENT PREDICTORS ASSOCIATED WITH READMISSION: INSIGHTS FROM NATIONAL READMISSION DATABASE
Keywords: Registries, Bone, Epidemiology, Best practices
S. Piplani1, V. Jelic1, V. R. Bejugam1, S. Kong1, S. R. Goguri2, M. Sedaghati1, D. Damania3, B. Johnson4, C. Tagoe4
1Jacobi Medical Center/North Central Bronx, NYC Health and Hospitals, Albert Einstein College of Medicine, Internal Medicine, New York, United States of America
2Chalmeda Anand Rao Institute of Medical Sciences, Internal Medicine, Telangana, India
3Jacobi Medical Center/North Central Bronx, NYC Health and Hospitals, Albert Einstein College of Medicine, Pulmonary and Critical care, New York, United States of America
4Montefiore Medical Center, Albert Einstein College of Medicine, Rheumatology, New York, United States of America

Background: Septic arthritis is a severe condition with notable morbidity and mortality. Limited knowledge exists regarding factors influencing the readmission of septic arthritis in real-world scenarios.


Objectives: To explore 30-day readmission in patients with septic arthritis and identifying independent predictors associated with readmission using National Readmission Database (NRD).


Methods: In this retrospective study, the 2019 data from the Agency for Healthcare Research and Quality’s Healthcare Cost and Utilization Project Nationwide Readmission Database were utilized. The primary focus was on determining the rate of readmission for all causes within 30 days post-discharge. Secondary objectives included assessing hospital-level metrics such as length of stay, total hospitalization charges, and costs. The identification of independent risk factors for readmission was carried out through Cox regression analysis.


Results: Of the 22,911 total index admissions, 851 resulted in readmissions. Males constituted the majority of index admissions at 64.8%, with a slightly higher readmission rate of 67.09%. The average age for index admissions was 58.1 years, decreasing to 54.1 years in readmitted patients. Insurance distribution showed a decline in readmissions among Medicare-insured patients (from 47.18% to 41.5%) and an increase among Medicaid-insured individuals (from 20.17% to 25.9%). Co-morbidities, such as chronic kidney disease (CKD), Hypertension, and Osteoarthritis, Alcohol Use, Liver Diseases, Thyroid Diseases, HIV, Other Connective Tissue disorders including RA, SLE, Sjogren’s Syndrome were prevalent in both cohorts. On identifying most common diagnosis for Septic Arthritis readmissions, top prevalent were Pyogenic Arthritis (M00.9) and Staphylococcal Arthritis (M00.062). Total Length of Stay for all readmissions in the year 2019 was 6683.75 days with total charges of $57,100,000$ ± $4,881,148. Independent Predictors for Readmissions includes age ([aOR] 0.986, p<0.0001), Medicaid insurance (aOR 1.46, p<0.001), rehab transfer (aOR 3.39, p<0.0001), smoking (aOR 1.46, p<0.0001), and connective tissue combined disorders (aOR 0.73, p<0.05).


Conclusion: Septic arthritis imposes a significant strain on hospital outcomes due to recurrent readmissions, leading to substantial healthcare utilization in the year 2019 alone. It is crucial to carefully examine independent predictors of readmissions associated in regards to septic Arthritis. Although it was a limitation that only 2019 data was used, but still smoking was a risk factor for recurrent admissions and readmissions was least in patients who had highest income bracket.

Index Admissions Readmissions
Total Number 22911 851
Female 35.13% 32.90%
Male 64.8% 67.09%
Age 58.1 years 54.1year
Insurance
Medicare 47.18% 41.5%
Medicaid 20.17% 25.9%
Private 26.25% 25.8%
Uninsured 6.37% 6.25%
Charlson co-morbidity index
1 43.65% 45.33%
2 26.58% 26.27%
3 29.75% 28.38%
Income in Zip code
1 - 47,999 31.33% 31.87%
48,000 - 60,999 27.85% 26.98%
61,000 - 81,999 24.66% 26.37%
82,000+ 16.1% 14.76%
Hospital Category
Large metropolitan areas with at least 1 million residents 50.6% 53.61%
Small metropolitan areas with less than 1 million residents 40.54% 38.81%
Micropolitan areas 7.24% 5.78%
Others 1.59% 1.78%
Hospital by Teaching Status
Metropolitan non-teaching 16.98% 14.36%
Metropolitan teaching 74.17% 78.06%
Non-metropolitan hospital 8.83% 7.56%
Rehab Transfer 0.9% 1.02%
Smoking 44.01% 50.96%
CHF 12.4% 10.74%
Pleuritis 0.9% 0.16%
Pericarditis 4.07% 3.40%
Osteoarthritis 22.30% 18.32%
Hypertension 58.92% 57.13%
Diabetes Mellitus 31.17% 32.04%
Obesity 19.05% 17.32%
CKD 16.96% 17.72%
Alcohol 5.30% 4.93%
Liver 4.50% 5.07%
Thyroid 11.73% 8.60%
Prednisone 2.77% 2.83%
Sepsis 4.32% 2.83%
Acute Renal Failure 2.47% 0.54%
HIV 1.15% 1.87%
RA 5.66% 3.79%
SLE 0.76% 1.85%
Rheumatoid Arthritis 5.6% 3.79%
Sjogren Syndrome 0.71% 1.31%
Gout 11.46% 8.51%
Connective Tissue combined 18.08% 13.81%

REFERENCES: NIL.


Acknowledgements: NIL.


Disclosure of Interests: None declared.


DOI: 10.1136/annrheumdis-2024-eular.2040
Keywords: Registries, Bone, Epidemiology, Best practices
Citation: , volume 83, supplement 1, year 2024, page 1332
Session: Inflammatory arthritis (Publication Only)