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Background: Medication‐related problem is a concerning issue in older adults with multimorbidity due to complexity of disease conditions and polypharmacy, and may lead to increase in risk for adverse health outcomes. This study aims to investigate the prevalence and associated factors of potentially inappropriate medication use among the growing population of older adults with multimorbidity in Taiwan. Method: The study population was composed of patients who were aged 65 years or older with multimorbidity (two or more chronic diseases) and had at least one outpatient clinic visit with drug prescription in 2018 identified from the Taiwan National Health Insurance Research Database. Potentially inappropriate medication use was defined using the 2019 Beers criteria for drugs to be avoided for older adults. Multiple logistic regression model was conducted to examine patient‐related and prescriber‐related factors associated with PIM use. Results: A total of 2 432 416 patients (69.7% of the entire older adult population) had multimorbidity and received at least one drug prescription at the outpatient clinic in Taiwan in 2018. The prevalence of having at least one PIM in this population was found to be 85.6%. Patient‐related factors (age, sex, specific chronic diseases, frequency of outpatient visits) and prescriber‐related factors (physician characteristics, healthcare setting, total number of medications, prior PIM use) were found to be associated with use of PIM. Conclusion: High prevalence of PIM use was found in older patients with multimorbidity in Taiwan. Both patient‐related and prescriber‐related factors had been found to be predictors of PIM use, and should be addressed when trying to improve the medication quality in this population. [ABSTRACT FROM AUTHOR]

Lupus nephritis (LN) is one of the most severe complications in patients with systemic lupus erythematosus (SLE). Traditionally, LN is regarded as an immune complex (IC) deposition disease led by dsDNA–anti-dsDNA-complement interactions in the subendothelial and/or subepithelial basement membrane of glomeruli to cause inflammation. The activated complements in the IC act as chemoattractants to chemically attract both innate and adaptive immune cells to the kidney tissues, causing inflammatory reactions. However, recent investigations have unveiled that not only the infiltrating immune-related cells, but resident kidney cells, including glomerular mesangial cells, podocytes, macrophage-like cells, tubular epithelial cells and endothelial cells, may also actively participate in the inflammatory and immunological reactions in the kidney. Furthermore, the adaptive immune cells that are infiltrated are genetically restricted to autoimmune predilection. The autoantibodies commonly found in SLE, including anti-dsDNA, are cross-reacting with not only a broad spectrum of chromatin substances, but also extracellular matrix components, including α-actinin, annexin II, laminin, collagen III and IV, and heparan sulfate proteoglycan. Besides, the glycosylation on the Fab portion of IgG anti-dsDNA antibodies can also affect the pathogenic properties of the autoantibodies in that α-2,6-sialylation alleviates, whereas fucosylation aggravates their nephritogenic activity. Some of the coexisting autoantibodies, including anti-cardiolipin, anti-C1q, anti-ribosomal P autoantibodies, may also enhance the pathogenic role of anti-dsDNA antibodies. In clinical practice, the identification of useful biomarkers for diagnosing, monitoring, and following up on LN is quite important for its treatments. The development of a more specific therapeutic strategy to target the pathogenic factors of LN is also critical. We will discuss these issues in detail in the present article. [ABSTRACT FROM AUTHOR]

Abstract Background It is important to find a comorbidity measure with better performance for use with administrative data. The new method proposed by Elixhauser et al. has never been validated and compared to the widely used Charlson method in the Asia region. The objective of this study was to compare the performance of three comorbidity measures using information from different data periods in predicting short- and long-term mortality among patients with acute myocardial infarction (AMI) and chronic obstructive pulmonary disease (COPD). Methods We conducted a retrospective cohort study using National Health Insurance claims data (2001-2002) in Taiwan. We constructed the Elixhauser, the Charlson/Deyo, and the Charlson/Romano methods based on the International Classification of Disease, 9th Revision, Clinical Modification codes in the claims data. Two data periods, including the index hospitalization as well as the index and prior 1-year hospitalizations, were used in the analysis. The performances were compared using the c-statistics derived from multiple logistic regression models that included age, gender, race, and whether the patient received surgery or not. The outcomes of interest were in-hospital and 1-year mortality. Results The performance was in the same rank order among both populations regardless of the outcome and data period: Elixhauser > Charlson/Romano > Charlson/Deyo. In predicting in-hospital mortality, the Elixhauser models using information from the index hospitalization performed best, even better than the Charlson/Deyo or Charlson/Romano models using information from the index and prior hospitalizations. Nevertheless, in predicting 1-year mortality, the Elixhauser models using information from the index and 1-year prior hospitalizations performed better than using information from the index hospitalization only. Conclusions This is so far the first study to validate the Elixhauser method and compare it to other methods in the Asia region, and is the first to report its differences in data periods between short- and long-term outcomes. The comorbidity measurement developed by Elixhauser et al. has relatively good predictive validity, and researchers should consider its use in claims-based studies.