Background This study aims to compare outcomes of hospitalizations of granulomatosis with polyangiitis (GPA) with and without renal involvement. The primary outcome was inpatient mortality, whereas secondary outcomes were hospital length of stay (LOS) and total hospital charge. Methods Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 databases. The NIS was searched for GPA hospitalizations with and without renal involvement as the principal or secondary diagnosis using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10) codes. GPA hospitalizations for adult patients from the above groups were identified. Multivariate logistic and linear regression analyses were used to adjust for possible confounders for the primary and secondary outcomes, respectively. Results There were more than 71 million discharges included in the combined 2016 and 2017 NIS database, of which 23,670 were for adult patients who had either a principal or secondary ICD-10 code for GPA, and 8,265 (34.92%) of these GPA hospitalizations had renal involvement. Hospitalizations for GPA with renal involvement had similar inpatient mortality (3.8% vs. 3.7%; adjusted OR: 1.14; 95% CI: 0.84-1.56; p=0.406) compared to those without renal involvement. GPA with renal involvement hospitalizations had an increase in adjusted mean LOS of 1.36 days (95% CI: 0.82-1.91; p=0.0001) compared to those without renal involvement. GPA with renal involvement hospitalizations had an increase in adjusted total hospital charges of $18,723 (95% CI: 9,595-27,852; p=0.0001) compared to those without renal involvement. Conclusions GPA with renal involvement hospitalizations had similar inpatient mortality compared to those without renal involvement. However, LOS and total hospital charges were greater in those with renal involvement.

Introduction This study aimed to describe rates and characteristics of non-elective 30-day readmission among adult patients with diabetes mellitus type 1 (T1DM) hospitalized for diabetic ketoacidosis (DKA) and also identify predictors of readmission. Methods The study analyzed the 2018 Nationwide Readmission Database. DKA hospitalizations in patients with T1DM were classified using ICD-10-CM codes. We utilized Chi-square tests to compare baseline characteristics between readmissions and index hospitalizations. Multivariable cox regression was employed to identify independent predictors of readmission. Following this, we developed a 30-day readmission risk scoring system based on independent predictors. Results The 30-day all-cause readmission rate for DKA was 19.4%. A majority of patients (64.8%) had DKA as the principal diagnosis on readmission. Readmitted patients had a significantly higher mean age (35.3 vs. 34.9 years, p=0.018) and a higher proportion of females (52.8 vs. 49.6%,p<0.001) compared to the index admission. Readmission following DKA was associated with higher odds of inpatient mortality (0.69 vs. 0.24%, OR: 2.84, 95% CI: 1.99 – 4.06, p<0.001). Independent predictors of 30-day all-cause readmission included female sex, index hospitalizations with Charlson Comorbidity Index (CCI) score of 3 or greater, and being discharged against medical advice (AMA). Conclusion The readmission rate for DKA in T1DM patients is high, and most patients have DKA as the principal diagnosis on readmission. A CCI equal to or greater than 3, hypertension, female sex, and being discharged AMA were significant predictors of readmission.

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This study aimed to compare outcomes of systemic sclerosis (SSc) hospitalizations with and without lung involvement. The primary outcome was inpatient mortality while secondary outcomes were hospital length of stay (LOS) and total hospital charge. Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 database. This database is the largest collection of inpatient hospitalization data in the USA. The NIS was searched for SSc hospitalizations with and without lung involvement as principal or secondary diagnosis using International Classification of Diseases 10th Revision (ICD-10) codes. SSc hospitalizations for patients aged ≥18 years from the above groups were identified. Multivariate logistic and linear regression analysis was used to adjust for possible confounders for the primary and secondary outcomes, respectively. There were over 71 million discharges included in the combined 2016 and 2017 NIS database. 62,930 hospitalizations were for adult patients who had either a principal or secondary ICD-10 code for SSc. 5095 (8.10%) of these hospitalizations had lung involvement. Lung involvement group had greater inpatient mortality (9.04% vs 4.36%, adjusted OR 2.09, 95% CI 1.61 to 2.73, p<0.0001), increase in mean adjusted LOS of 1.81 days (95% CI 0.98 to 2.64, p<0.0001), and increase in mean adjusted total hospital charge of $31,807 (95% CI 14,779 to 48,834, p<0.0001), compared with those without lung involvement. Hospitalizations for SSc with lung involvement have increased inpatient mortality, LOS and total hospital charge compared with those without lung involvement. Collaboration between the pulmonologist and the rheumatologist is important in optimizing outcomes of SSc hospitalizations with lung involvement.

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