Predictors for early readmission in patients hospitalized with new onset pediatric lupus nephritis

Lupus ◽  
2021 ◽  
pp. 096120332110446
Author(s):  
Angel AH Guerra ◽  
Rouba Garro ◽  
Courtney McCracken ◽  
Kelly Rouster-Stevens ◽  
Sampath Prahalad

Objective The objective is to determine the 30-day hospital readmission rate following a hospitalization due to pediatric lupus nephritis of recent onset and characterize the risk factors associated with these early readmissions. Methods The study included 76 children hospitalized from 01/01/2008 to 4/30/2017 due to a new diagnosis of lupus nephritis. We calculated the 30-day hospital readmission rate and compared the characteristics of the patients that were readmitted to patients that were not readmitted using univariable and multivariable analysis. Results The 30-day readmission rate was 17.1%. Factors that predicted hospital readmission in unavailable analysis were male gender (38.5 vs 14.3%, p = 0.04), not receiving pulse steroids (30.8 vs 3.2%, p = < .001), receiving diuretic treatment (69.2 vs 34.9%, p = .02), receiving albumin infusions (46.2 vs 12.7%, p = .004), stage 2 hypertension on day one of admission (76.9 vs 41.3%, p = .02), a higher white blood cell count on discharge (13.7 × 103/mm3 vs 8.8 × 103/mm 3 , p = .023), need for non-angiotensin converting enzyme (ACE) antihypertensive drugs (76.9 vs 46%, p = .042), and being discharged on nonsteroidal anti-inflammatory drugs (NSAIDs) (23.1 vs 4.8%, p = .025). Multivariable analysis demonstrated an increased risk of readmission for patients not treated with intravenous pulse methylprednisolone (IVMP) (OR = 17.5 (1.81–168.32) p = .013), and for those who required intravenous albumin assisted diuresis for hypervolemia (OR=6.25 (1.29–30.30) p = .022). Conclusion In all, 17% of children hospitalized due to new onset lupus nephritis were readmitted within 30 days of discharge. Absence of IVMP and receiving intravenous albumin assisted diuresis during initial hospitalization increase the risk of early readmission in new onset pediatric lupus nephritis.

2018 ◽  
Vol 18 (10) ◽  
pp. 1513-1518 ◽  
Author(s):  
Suresh Basnet ◽  
Meng Zhang ◽  
Martin Lesser ◽  
Gisele Wolf-Klein ◽  
Guang Qiu ◽  
...  

2021 ◽  
Vol 93 (6) ◽  
pp. AB48-AB49
Author(s):  
Chelsea C. Jacobs ◽  
Michael Ladna ◽  
Johnny F. Jaber ◽  
Sandeep A. Ponniah ◽  
Ishaan K. Madhok ◽  
...  

AIDS ◽  
2013 ◽  
Vol 27 (13) ◽  
pp. 2059-2068 ◽  
Author(s):  
Stephen A. Berry ◽  
John A. Fleishman ◽  
Baligh R. Yehia ◽  
P. Todd Korthuis ◽  
Allison L. Agwu ◽  
...  

2021 ◽  
Author(s):  
Jegy M. Tennison ◽  
Nahid J. Rianon ◽  
Joanna G. Manzano ◽  
Mark F. Munsell ◽  
Marina C. George ◽  
...  

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Lu Xiong ◽  
Tingting Sun ◽  
Randall Green

<p style='text-indent:20px;'>The 30-day hospital readmission rate is the percentage of patients who are readmitted within 30 days after the last hospital discharge. Hospitals with high readmission rates would have to pay penalties to the Centers for Medicare &amp; Medicaid Services (CMS). Predicting the readmissions can help the hospital better allocate its resources to reduce the readmission rate. In this research, we use a data set from a hospital in North Carolina during the years from 2011 to 2016, including 71724 hospital admissions. We aim to provide a predictive model that can be helpful for related entities including hospitals, health insurance actuaries, and Medicare to reduce the cost and improve the clinical outcome of the healthcare system. We used R to process data and applied clustering, generalized linear model (GLM) and LASSO regressions to predict the 30-day readmissions. It turns out that the patient's age is the most important factor impacting hospital readmission. This research can help hospitals and CMS reduce costly readmissions.</p>


2021 ◽  
Vol 10 (13) ◽  
pp. 2927
Author(s):  
Amaar Obaid Hassan ◽  
Gregory Y. H. Lip ◽  
Arnaud Bisson ◽  
Julien Herbert ◽  
Alexandre Bodin ◽  
...  

There are limited data on the relationship of acute dental infections with hospitalisation and new-onset atrial fibrillation (AF). This study aimed to assess the relationship between acute periapical abscess and incident AF. This was a retrospective cohort study from a French national database of patients hospitalized in 2013 (3.4 million patients) with at least five years of follow up. In total, 3,056,291 adults (55.1% female) required hospital admission in French hospitals in 2013 while not having a history of AF. Of 4693 patients classified as having dental periapical abscess, 435 (9.27%) developed AF, compared to 326,241 (10.69%) without dental periapical abscess that developed AF over a mean follow-up of 4.8 ± 1.7 years. Multivariable analysis indicated that dental periapical abscess acted as an independent predictor for new onset AF (p < 0.01). The CHA2DS2VASc score in patients with acute dental periapical abscess had moderate predictive value for development of AF, with Area Under the Curve (AUC) 0.73 (95% CI, 0.71–0.76). An increased risk of new onset AF was identified for individuals hospitalized with dental periapical abscess. Careful follow up of patients with severe, acute dental periapical infections is needed for incident AF, as well as investigations of possible mechanisms linking these conditions.


2018 ◽  
Vol 24 (1) ◽  
pp. 10-14 ◽  
Author(s):  
Mukul Bhattarai ◽  
Tamer Hudali ◽  
Robert Robinson ◽  
Mohammad Al-Akchar ◽  
Carrie Vogler ◽  
...  

Researchers are extensively searching for modifiable risk factors including high-risk medications such as anticoagulation to avoid rehospitalisation. The influence of oral anticoagulant therapy on hospital readmission is not known. We investigated the impact of warfarin and direct oral anticoagulants (DOACs) on all cause 30-day hospital readmission retrospectively in an academic centre. We study the eligible cohort of 1781 discharges over 2-year period. Data on age, gender, diagnoses, 30-day hospital readmission, discharge medications and variables in the HOSPITAL score (Haemoglobin level at discharge, Oncology at discharge, Sodium level at discharge, Procedure during hospitalisation, Index admission, number of hospital Admissions, Length of stay) and LACE index (Length of stay, Acute/emergent admission, Charlson comorbidity index score, Emergency department visits in previous 6 months), which have higher predictability for readmission were extracted and matched for analysis. Warfarin was the most common anticoagulant prescribed at discharge (273 patients) with a readmission rate of 20% (p<0.01). DOACs were used by 94 patients at discharge with a readmission rate of 4% (p=0.219). Multivariate logistic regression showed an increased risk of readmission with warfarin therapy (OR 1.36, p=0.045). Logistic regression did not show DOACs to be a risk factor for hospital readmission. Our data suggests that warfarin therapy is a risk factor for all-cause 30-day hospital readmission. DOAC therapy is not found to be associated with a higher risk of hospital readmission. Warfarin anticoagulation may be an important target for interventions to reduce hospital readmissions.


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