Alcohol Consumption Patterns for Excessive Drinkers in a Multi-Ethnic Society Short Running Title: Drinking Patterns and Health Education.

Objective: Culture and eating habits, which vary greatly across different ethnic groups, have a substantial impact on drinking behavior. This study aimed to examine whether the drinking patterns and reasons differ by ethnic groups, and provide useful insights for multi-ethnic areas that seek to cut down alcohol intake. Methods: We recruited excessive drinkers and collected the drinking patterns and motivations by questionnaire in a multi-ethnic society. Multiple linear regressions were used to evaluate the variations in drinking characteristics among different ethnic groups. Results: We recruited 1287 participants through convenience sampling (a non-probability sampling technique used in research where the researcher selects participants or units for a study based on their accessibility and proximity), among whom 439 excessive drinkers were eligible. The mean age was 38 years for the 439 participants, 92.9% were men, 36.0% were Han, and 64.0% were minorities mainly composed of the Yi. The majority of the participants were married (75.9%) and did physical work (58.1%). Ethnic minorities consumed more alcohol on a single occasion than Han people did (47.3 vs 41.8g/session) while drinking less frequently. For the minority and Han participants, 67% and 42% were not used to drinking with food, respectively. Peer pressure and fostering a good atmosphere were the most common drinking reasons for the minority and Han, respectively. Conclusion: We found substantial differences in drinking patterns and reasons between ethnic minorities and Han ethnicity, attributable to their culture and customs. Findings highlight the importance of drinking habits and motivations in exploring alcohol control education strategies in the context of ethnic integration and population immigration.

Prescription medication use among patients with type 2 diabetes in the United States: 1999-2020.

AIMS: We aimed to examine trends in overall prescription medication use among patients with type 2 diabetes in the United States to provide insights for patient care. MATERIALS AND METHODS: We used nationally representative data from the National Health and Nutrition Examination Survey from 1999 to 2020 and included adult patients with type 2 diabetes. We examined the use of prescription drugs, overall and by drug class, polypharmacy (use of ≥5 medications), and number of medications attributed to specific classes. RESULTS: In the period 2015-2020, the mean patient age was 59.6 (51.0-70.0) years, with 46.8% (43.6-49.9) being female and 57.8% (52.8-62.8) being non-Hispanic White. Among 9489 adults with type 2 diabetes, the prevalence of polypharmacy was high and increased from 35.1% (31.6-38.6) in 1999-2002 to 47.2% (43.7-50.7) in 2003-2006, and further to 51.1% (48.3-53.9) in 2015-2020 (p for trend <0.001). Increasing trends of polypharmacy were found across all population subgroups and across the majority of therapeutic classes. Use of non-cardiometabolic medications was common. Among them, the most common were antidepressants (19.8%), proton pump inhibitors (19.0%) and analgesics (16.2%). Among patients with polypharmacy, approximately 40% of medication use was attributed to non-cardiometabolic medications. CONCLUSIONS: Prescription medication burden and complexity increased substantially among patients with type 2 diabetes, with more than 50% of patients with polypharmacy. Attention should be paid to this escalating medication use and regimen complexity, which requires multidisciplinary and coordinated care.

Trends in Number and Appropriateness of Prescription Medication Utilization Among Community-Dwelling Older Adults in the United States: 2011-2020.

BACKGROUND: Contemporary data on the quantity and quality of medication use among older adults are lacking. This study examined recent trends in the number and appropriateness of prescription medication use among older adults in the United States. METHODS: Data from the National Health and Nutrition Examination Survey (NHANES) between 2011 and March 2020 were used, and 6 336 adult participants aged 65 and older were included. We examined the number of prescription medication, prevalence of polypharmacy (≥5 prescription drugs), use of potentially inappropriate medication (PIM), and use of recommended medications (angiotensin-converting enzyme inhibitor [ACEI]/angiotensin receptor blockers [ARBs] plus beta-blockers among patients with heart failure and ACEI/ARBs among patients with albuminuria). RESULTS: There has been a slight increase in the prevalence of polypharmacy (39.3% in 2011-2012 to 43.8% in 2017-2020, p for trend = .32). Antihypertensive, antihyperlipidemic, antidiabetic medications, and antidepressants are the most commonly used medications. There was no substantial change in the use of PIM (17.0% to 14.7%). Less than 50% of older adults with heart failure received ACEI/ARBs plus beta-blockers (44.3% in 2017-2020) and approximately 50% of patients with albuminuria received ACEI/ARBs (54.0% in 2017-2020), with no improvement over the study period. Polypharmacy, older age, female, and lower socioeconomic status were generally associated with greater use of PIM but lower use of recommended medications. CONCLUSIONS: The medication burden remained high among older adults in the United States and the appropriate utilization of medications did not improve in the recent decade. Our results underscore the need for greater attentions and interventions to the quality of medication use among older adults.

HLA-DR Helps to Differentiate Erythrodermic Cutaneous T-cell Lymphoma from Erythrodermic Inflammatory Dermatoses in Flow Cytometry.

Differential diagnosis of erythroderma is challenging in dermatology, especially in differentiating erythrodermic cutaneous T-cell lymphoma from erythrodermic inflammatory dermatoses. This study retrospectively reviewed the peripheral blood flow cytometric results of 73 patients diagnosed with erythroderma at Peking University First Hospital from 2014 to 2019. The flow cytometry antibody panel included white blood cell markers, T-cell markers, B-cell markers, T-cell activation markers, and T helper cell differentiation markers. Features of the cell surface antigens were compared between 34 patients with erythrodermic cutaneous T-cell lymphoma and 39 patients with erythrodermic inflammatory dermatoses. The percentage of HLA-DR+/CD4+T cells was the most pronounced marker to distinguish erythrodermic cutaneous T-cell lymphoma from erythrodermic inflammatory dermatoses, with a threshold of 20.85% (sensitivity 96.77%, specificity 70.37%, p = 0.000, area under the curve (AUC) 0.882), suggesting its potential capability in the differential diagnosis of erythrodermic cutaneous T-cell lymphoma from erythrodermic inflammatory dermatoses. Moreover, in contrast to erythrodermic inflammatory dermatoses, the percentage of Th17 cells was significantly downregulated in erythrodermic cutaneous T-cell lymphoma (p = 0.001), demonstrating a dysregulated immune environment in erythrodermic cutaneous T-cell lymphoma.

Graft Function Variability and Slope and Kidney Transplantation Outcomes.

INTRODUCTION: It is critical to identify kidney transplant recipients (KTRs) at higher risk for adverse outcomes, to focus on monitoring and interventions to improve outcomes. We examined the associations between graft function variability and long-term outcomes in KTRs in an observational study. METHODS: We identified 2919 KTRs in the Wisconsin Allograft Recipient Database (WisARD) who had a functioning allograft 2 years posttransplantation and at least 3 outpatient measurements of estimated glomerular filtration rate (eGFR) from 1 to 2 years posttransplantation. Graft function slope was calculated from a linear regression of eGFR, and variability was defined as the coefficient of variation around this regression line. Associations of eGFR variability and slope with death, graft failure, cardiovascular events, and acute rejection were estimated. RESULTS: Compared to the lowest quartile, the highest quartile of eGFR variability was associated with a higher risk of death (adjusted hazard ratio [HR] = 1.85; 95% CI = 1.23-2.76), but not with a higher risk of graft failure (subhazard ratio = 1.16; 95% CI = 0.85-1.58), independent of eGFR and slope of eGFR. Greater eGFR variability was associated with higher risk of cardiovascular- and infection-related death and cardiovascular events but not malignancy-related death or allograft rejection. Including variability of eGFR significantly improved prediction of mortality but not prediction of graft failure. CONCLUSION: Variability of eGFR is independently associated with risk of death, especially cardiovascular disease-related death and cardiovascular events, but not graft failure. Variability of eGFR may help identify KTRs at higher risk for death and cardiovascular events.

Management of BK viremia is associated with a lower risk of subsequent cytomegalovirus infection in kidney transplant recipients.

The risk of subsequent cytomegalovirus infection (CMV) in kidney transplant recipients (KTR) after diagnosis of BK polyomavirus viremia (BKV) is unclear, and current evidence is conflicting. We reviewed all KTR transplanted at our institution between 1/1/2005 and 12/31/2015. Follow-up began 3 months after transplantation to avoid confounding effects of prophylaxis. Clinically significant BKV, defined as detectable BK viremia >1000 copies/mL via molecular diagnostic testing (PCR), was treated as a time-varying exposure with 1-year follow-up. This viral load cutoff was chosen to ensure a more homogenous population that would be considered to have clinically significant BK viremia that necessitated management via immunosuppressive modification. Patients were then screened for subsequent CMV infection. 2435 RTX recipients met inclusion criteria; of these, 314 developed BKV during follow-up (BK+). Lymphocyte depletion, tacrolimus maintenance, and biopsy-proven rejection were significantly higher in the BK+ group. BK+ was associated with lower risk of subsequent CMV infection (BK+ HR 0.45, 95% CI 0.22-0.94, P = .03, relative risk reduction 55%). When adjusted for significant confounding factors, CMV incidence remained reduced in the BK+ population (HR 0.47, 95% CI 0.22-0.98, P = .04). This large series of KTR demonstrates that BKV is associated with lower risk of subsequent CMV infection.

Temperature-sensitive sarcomeric protein post-translational modifications revealed by top-down proteomics.

Despite advancements in symptom management for heart failure (HF), this devastating clinical syndrome remains the leading cause of death in the developed world. Studies using animal models have greatly advanced our understanding of the molecular mechanisms underlying HF; however, differences in cardiac physiology and the manifestation of HF between animals, particularly rodents, and humans necessitates the direct interrogation of human heart tissue samples. Nevertheless, an ever-present concern when examining human heart tissue samples is the potential for artefactual changes related to temperature changes during tissue shipment or sample processing. Herein, we examined the effects of temperature on the post-translational modifications (PTMs) of sarcomeric proteins, the proteins responsible for muscle contraction, under conditions mimicking those that might occur during tissue shipment or sample processing. Using a powerful top-down proteomics method, we found that sarcomeric protein PTMs were differentially affected by temperature. Specifically, cardiac troponin I and enigma homolog isoform 2 showed robust increases in phosphorylation when tissue was incubated at either 4 °C or 22 °C. The observed increase is likely due to increased cyclic AMP levels and activation of protein kinase A in the tissue. On the contrary, cardiac troponin T and myosin regulatory light chain phosphorylation decreased when tissue was incubated at 4 °C or 22 °C. Furthermore, significant protein degradation was also observed after incubation at 4 °C or 22 °C. Overall, these results indicate that temperature exerts various effects on sarcomeric protein PTMs and careful tissue handling is critical for studies involving human heart samples. Moreover, these findings highlight the power of top-down proteomics for examining the integrity of cardiac tissue samples.