17 research outputs found

    CD19 + CD21lo/neg cells are increased in systemic sclerosis-associated interstitial lung disease

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    Interstitial lung disease (ILD) represents a significant cause of morbidity and mortality in systemic sclerosis (SSc). The purpose of this study was to examine recirculating lymphocytes from SSc patients for potential biomarkers of interstitial lung disease (ILD). Peripheral blood mononuclear cells (PBMCs) were isolated from patients with SSc and healthy controls enrolled in the Vanderbilt University Myositis and Scleroderma Treatment Initiative Center cohort between 9/2017-6/2019. Clinical phenotyping was performed by chart abstraction. Immunophenotyping was performed using both mass cytometry and fluorescence cytometry combined with t-distributed stochastic neighbor embedding analysis and traditional biaxial gating. This study included 34 patients with SSc-ILD, 14 patients without SSc-ILD, and 25 healthy controls. CD2

    Epidemiology of inpatient stay in Parkinson\u27s disease in the United States: Insights from the Nationwide Inpatient Sample

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    The total number of people living with Parkinson\u27s disease (PD) worldwide is expected to double by 2030. The risk factors for emergency department visits in PD patients have been described before, however, there is limited data on inpatient hospitalizations of PD patients. We derived our study cohort from the Nationwide Inpatient Sample (NIS) database from 2002-2011. The NIS is a stratified 20% sample of discharges from all U.S. hospitals. We extracted causes of hospitalization using International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) codes and calculated inpatient mortality, length of stay and cost. Further, the significance of trends over 10 years was assessed. A total of 3,015,645 (weighted) admissions of PD patients were documented from 2002-2011. Pneumonia, urinary tract infection (UTI), septicemia and aspiration pneumonitis were the most common causes of admission, of which incidence of sepsis and UTI was trending up. Of all causes, 3.9% of the admissions resulted in inpatient mortality. Inpatient mortality for PD patients decreased from 4.9% in 2002 to 3.3% in 2011 (p\u3c0.001). The median length of stay has also steadily declined from 3.6days in 2002 to 2.3days in 2011. However, the inflation-adjusted cost of care has been steadily rising, from 22,250perhospitalizationin2002to22,250 per hospitalization in 2002 to 37,942 in 2011. We conclude that the epidemiology of inpatient admissions in PD has changed significantly over the last decade. Our study underscores the need for future, in-depth prospective studies to explore this changing disease spectrum to design preventive measures and targeted interventions

    Dialysis Requiring Acute Kidney Injury in Acute Cerebrovascular Accident Hospitalizations

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    BACKGROUND AND PURPOSE: The epidemiology of dialysis requiring acute kidney injury (AKI-D) in acute ischemic stroke (AIS) and intracerebral hemorrhage (ICH) admissions is poorly understood with previous studies being from a single center or year. METHODS: We used the Nationwide Inpatient Sample to evaluate the yearly incidence trends of AKI-D in hospitalizations with AIS and ICH from 2002 to 2011. We also evaluated the trend of impact of AKI-D on in-hospital mortality and adverse discharge using adjusted odds ratios (aOR) after adjusting for demographics and comorbidity indices. RESULTS: We extracted a total of 3,937,928 and 696,754 hospitalizations with AIS and ICH, respectively. AKI-D occurred in 1.5 and 3.5 per 1000 in AIS and ICH admissions, respectively. Incidence of admissions complicated by AKI-D doubled from 0.9/1000 to 1.7/1000 in AIS and from 2.1/1000 to 4.3/1000 in ICH admissions. In AIS admissions, AKI-D was associated with 30% higher odds of mortality (aOR, 1.30; 95% confidence interval, 1.12-1.48; P\u3c0.001) and 18% higher odds of adverse discharge (aOR, 1.18; 95% confidence interval, 1.02-1.37; P\u3c0.001). Similarly, in ICH admissions, AKI-D was associated with twice the odds of mortality (aOR, 1.95; 95% confidence interval, 1.61-2.36; P\u3c0.01) and 74% higher odds of adverse discharge (aOR, 1.74; 95% confidence interval, 1.34-2.24; P\u3c0.01). Attributable risk percent of mortality was high with AKI-D (98%-99%) and did not change significantly over the study period. CONCLUSIONS: Incidence of AKI-D complicating hospitalizations with cerebrovascular accident continues to grow and is associated with increased mortality and adverse discharge. This highlights the need for early diagnosis, better risk stratification, and preparedness for need for complex long-term care in this vulnerable population

    A National Perspective of Do-Not-Resuscitate Order Utilization Predictors in Intracerebral Hemorrhage

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    Nontraumatic intracerebral hemorrhage (ICH) is associated with substantial morbidity and mortality. Do-not-resuscitate (DNR) orders are linked to poorer outcomes in patients with ICH, possibly due to less active management. Demographic, regional, and social factors, not related to ICH severity, have not been adequately looked at as significant predictors of DNR utilization. We reviewed the Healthcare Cost and Utilization Project\u27s Nationwide Inpatient Sample (NIS) database in 2011 for adult ICH admissions and DNR status. We generated hierarchical 2-level multivariate regression models to estimate adjusted odds ratios. We analyzed 25 768 ICH hospitalizations, 18% of which (4620 hospitalizations) had DNR orders, corresponding to national estimates of 126 254 and 22 668, respectively. In multivariable regression, female gender, white or Hispanic/Latino ethnicity, no insurance coverage, and teaching hospitals were significantly associated with increased DNR utilization after adjusting for confounders. There was also significantly more interhospital variability in the lowest quartile of hospital volume. In conclusion, demographic factors and insurance status are significantly associated with increased DNR utilization, with more individual hospital variability in low-volume hospitals. The reasons for this are likely qualitative and linked to patient, provider, and hospital practices

    Development and validation of case-finding algorithms for the identification of patients with anti-neutrophil cytoplasmic antibody-associated vasculitis in large healthcare administrative databases.

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    PURPOSE: The aim of this study was to develop and validate case-finding algorithms for granulomatosis with polyangiitis (Wegener\u27s, GPA), microscopic polyangiitis (MPA), and eosinophilic GPA (Churg-Strauss, EGPA). METHODS: Two hundred fifty patients per disease were randomly selected from two large healthcare systems using the International Classification of Diseases version 9 (ICD9) codes for GPA/EGPA (446.4) and MPA (446.0). Sixteen case-finding algorithms were constructed using a combination of ICD9 code, encounter type (inpatient or outpatient), physician specialty, use of immunosuppressive medications, and the anti-neutrophil cytoplasmic antibody type. Algorithms with the highest average positive predictive value (PPV) were validated in a third healthcare system. RESULTS: An algorithm excluding patients with eosinophilia or asthma and including the encounter type and physician specialty had the highest PPV for GPA (92.4%). An algorithm including patients with eosinophilia and asthma and the physician specialty had the highest PPV for EGPA (100%). An algorithm including patients with one of the diagnoses (alveolar hemorrhage, interstitial lung disease, glomerulonephritis, and acute or chronic kidney disease), encounter type, physician specialty, and immunosuppressive medications had the highest PPV for MPA (76.2%). When validated in a third healthcare system, these algorithms had high PPV (85.9% for GPA, 85.7% for EGPA, and 61.5% for MPA). Adding the anti-neutrophil cytoplasmic antibody type increased the PPV to 94.4%, 100%, and 81.2% for GPA, EGPA, and MPA, respectively. CONCLUSION: Case-finding algorithms accurately identify patients with GPA, EGPA, and MPA in administrative databases. These algorithms can be used to assemble population-based cohorts and facilitate future research in epidemiology, drug safety, and comparative effectiveness. Copyright © 2016 John Wiley & Sons, Ltd
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