Changes in the Prevalence, Incidence, and Disability-Adjusted Life Years of Non-alcoholic Fatty Liver Disease in the United States Between 1990 and 2019.

INTRODUCTION: This study aimed to determine trends in the prevalence, incidence, and disability-adjusted life years (DALYs) of Non-alcoholic Fatty Liver Disease (NAFLD) in the US across different states and age groups between 1990 and 2019. METHODS: Using the Global Burden of Disease database, this study analyzed the prevalence, incidence, and DALYs of NAFLD in the US between 1990 and 2019. We computed relative percentage changes, performed Joinpoint regression analyses of trends, and compared these between states and age groups (5-19, 20-55, and more than 55 years old). RESULTS: In the United States, the prevalence of NAFLD increased more than the global average over the study period (+ 30.7% vs. + 24.5%), especially in the 5-19-year-old age group. Among all states, Kansas, Washington, and California had the highest increase in prevalence and the District of Columbia followed by Massachusetts and North Carolina had the lowest increase in prevalence. The increase in incidence was greater in the US than the global average (+ 37.18% vs. + 7.28%). West Virginia, Ohio, and Kentucky had the highest increase in incidence. The increase in DALYs was greater in the US compared to the global average (+ 57.15% vs. + 12.65%). Alaska, West Virginia, and Kentucky had the highest increase in DALYs. The increased incidence and DALYs were found in all states except in the District of Columbia. CONCLUSION: The prevalence of NAFLD in the US has increased more rapidly than the global average, especially in the pediatric population. South and Midwest states have the highest increase in prevalence, incidence, and DALYs of NAFLD. The District of Columbia was the only state that has decreased incidence and DALYs.

Mortality Risk After Atypical Femoral Fracture: A Systematic Review and Meta-analysis.

OBJECTIVE: To summarize all available data using systematic review and meta-analysis to estimate the 1-year mortality risk after atypical femoral fracture (AFF) and risk ratio of mortality after AFF versus typical femoral fracture (TFF). METHODS: Potentially eligible studies were identified from MEDLINE and Embase databases from inception to February 2022 using a search strategy that comprised the terms for "atypical femoral fracture" and "mortality." An eligible study must consist of a cohort of patients with AFF. Then, the study must report the 1-year mortality rate after the AFF or report effect estimates with 95% confidence intervals, comparing the incident mortality between patients with AFF and TFF. Point estimates with standard errors were retrieved from each study and combined using the generic inverse variance method. RESULTS: A total of 8967 articles were identified. After 2 rounds of independent review by 3 investigators, we identified 7 studies reporting the 1-year mortality rate of AFFs and 3 studies comparing the mortality rate of AFF with that of TFF. Pooled analysis revealed a pooled 1-year mortality rate after an AFF of 0.10 (95% confidence interval, 0.05-0.16; I2 = 93.3%). Two studies compared the mortality risks of AFF with those of TFF and revealed conflicting results. CONCLUSION: The 1-year mortality rate after an AFF was approximately 10%. However, evidence is insufficient to conclude whether there was a difference in mortality risk between AFF and TFF.

Clinical differences between Raoultella spp. and Klebsiella oxytoca.

Purpose: Raoultella spp. is a genus of bacteria that is known to be closely related to Klebsiella. It has been debated whether Raoultella should be reclassified as a subgroup of Klebsiella. The aim of this study is to compare clinical aspects of Raoultella and Klebsiella oxytoca, a species of Klebsiella that is known to be bacteriologically similar to Raoultella spp. Methods: Using data collected at a tertiary care hospital in the United States, we identified 43 patients with Raoultella infection and 1173 patients with Klebsiella oxytoca infection. We compared patient demographics (age and sex), hospitalization status, isolation sites and antibiotic resistance profiles between the two species. Results: There was no significant difference in patient demographics between the two bacteria species. The proportions of intensive care unit (ICU) admission were higher among patients with Raoultella infection (p=0.008). The most common site of isolation was urine for both species (39.5% of all patients with Raoultella spp. vs. 59.3% for K. oxytoca). The second most common site of isolation was blood stream for Raoultella spp. (23.3%) and respiratory tract for K. oxytoca (10.8%). Except for the high proportion of resistant isolates of Raoultella spp. for Trimethoprim/sulfamethoxazole, the antibiotic susceptibility profiles were similar between the two bacteria species. Both were susceptible to ciprofloxacin and meropenem. Conclusion: While there are no significant differences in the patient demographics and antibiotic susceptibility profiles between Raoultella spp. and K. oxytoca, Raoultella may cause more serious infection requiring ICU admissions. Also, Raoultella may cause blood stream infection more frequently than K. oxytoca.

Clinical factors associated with racial differences in the prevalence of occult hypoxemia: a retrospective case-control study.

Background: Recent studies showed that Black patients more often have falsely normal oxygen saturation on pulse oximetry compared to White patients. However, whether the racial differences in occult hypoxemia are mediated by other clinical differences is unknown. Methods: We conducted a retrospective case-control study utilizing two large ICU databases (eICU and MIMIC-IV). We defined occult hypoxemia as oxygen saturation on pulse oximetry within 92-98% despite oxygen saturation on arterial blood gas below 90%. We assessed associations of commonly measured clinical factors with occult hypoxemia using multivariable logistic regression and conducted mediation analysis of the racial effect. Results: Among 24,641 patients, there were 1,855 occult hypoxemia cases and 23,786 controls. In both datasets, Black patients were more likely to have occult hypoxemia (unadjusted odds ratio 1.66 [95%-CI: 1.41-1.95] in eICU and 2.00 [95%-CI: 1.22-3.14] in MIMIC-IV). In multivariable models, higher respiratory rate, PaCO2 and creatinine as well as lower hemoglobin were associated with increased odds of occult hypoxemia. Differences in the commonly measured clinical markers accounted for 9.2% and 44.4% of the racial effect on occult hypoxemia in eICU and MIMIC-IV, respectively. Conclusion: Clinical differences, in addition to skin tone, might mediate some of the racial differences in occult hypoxemia.

Genetic Variations of the Vitamin D Metabolic Pathway and COVID-19 Susceptibility and Severity: Current Understanding and Existing Evidence.

The immunomodulatory and metabolic effects of vitamin D receptor (VDR) activation have been considered beneficial in mitigating the susceptibility and severity of COVID-19 infection. Furthermore, vitamin D-binding protein (DBP) has pleiotropic effects on the immune system that may influence inflammation associated with COVID-19. Multiple observational studies have demonstrated an association between low levels of serum 25-hydroxyvitamin D and risk and the severity of COVID-19 infection. However, the impact of vitamin D supplementation as an adjunctive treatment for COVID-19 based on evidence from randomized clinical trials is unclear. Equally important is that certain variations of the genes involved in the vitamin D metabolic pathway have been shown to affect immune function and linked with various clinical outcomes, including cardio-metabolic disorders, autoimmune diseases, infections, and cancers. This indicates inter-individual difference in body response to vitamin D. There is also emerging evidence that common polymorphisms of these genes may influence the susceptibility and severity of COVID-19, although the confidence of these findings is limited by a small number of studies and participants. Further studies are needed to address the potential role of VDR activation and DBP in the pathophysiology of COVID-19 which take into account the genetic variations of vitamin D metabolic pathway.

Gender, Age, and Regional Disparities in the Incidence and Mortality Trends of Infective Endocarditis in the United States Between 1990 and 2019.

The incidence of infective endocarditis (IE) has increased globally in the past decades, including in the United States. However, little is known about the differences in trends across states, gender, and age groups within the United States. Using the Global Burden of Disease database, we analyzed the incidence and mortality trends of IE in the United States between 1990 and 2019 using Joinpoint regression analyses, and compared between states, gender, and age groups. The age-standardized incidence rate (ASIR) of IE in the United States increased from 10.2/100,000 population in 1990 to 14.4 in 2019. The increase in ASIR was greater among men than women (45.8% vs 34.1%). The incidence increase was driven by 55+ year-olds (112.7% increase), with rapid increases in the 1990s and early 2000s, followed by a plateau around the mid-2000s. In contrast, the incidence among 5-to-19-year-olds decreased by -36.6% over the 30-year period. The incidence increased among all age groups in the last 5 years of observation (2015 to 2019), with the largest increase in 5-to-19-year-olds (3.3% yearly). The 30-year increase in ASIR was greatest in Utah (66.2%) and smallest in California (30.2%). The overall age-standardized mortality attributable to IE increased in the United States by 126% between 1990 and 2019 versus 19.6% globally. In conclusion, although the overall incidence and mortality of IE increased over the past 30 years in the United States, there are significant differences between regions, gender, and age groups. These findings indicate unevenly distributed disease burden of IE across the nation.

Silent Airway Mucus Plugs in COPD and Clinical Implications.

BACKGROUND: Airway mucus plugs are frequently identified on CT scans of patients with COPD with a smoking history without mucus-related symptoms (ie, cough, phlegm [silent mucus plugs]). RESEARCH QUESTION: In patients with COPD, what are the risk and protective factors associated with silent airway mucus plugs? Are silent mucus plugs associated with functional, structural, and clinical measures of disease? STUDY DESIGN AND METHODS: We identified mucus plugs on chest CT scans of participants with COPD from the COPDGene study. The mucus plug score was defined as the number of pulmonary segments with mucus plugs, ranging from 0 to 18, and categorized into three groups (0, 1-2, and ≥ 3). We determined risk and protective factors for silent mucus plugs and the associations of silent mucus plugs with measures of disease severity using multivariable linear and logistic regression models. RESULTS: Of 4,363 participants with COPD, 1,739 had no cough or phlegm. Among the 1,739 participants, 627 (36%) had airway mucus plugs identified on CT scan. Risk factors of silent mucus plugs (compared with symptomatic mucus plugs) were older age (OR, 1.02), female sex (OR, 1.40), and Black race (OR, 1.93) (all P values < .01). Among those without cough or phlegm, silent mucus plugs (vs absence of mucus plugs) were associated with worse 6-min walk distance, worse resting arterial oxygen saturation, worse FEV1 % predicted, greater emphysema, thicker airway walls, and higher odds of severe exacerbation in the past year in adjusted models. INTERPRETATION: Mucus plugs are common in patients with COPD without mucus-related symptoms. Silent mucus plugs are associated with worse functional, structural, and clinical measures of disease. CT scan-identified mucus plugs can complement the evaluation of patients with COPD.

The importance of timely contact tracing - A simulation study.

BACKGROUND: While the role of contact tracing in the containment of the COVID-19 epidemic remains important until vaccines are widely available, literature on objectively measurable indicators for the effectiveness of contact tracing is scarce. We suggest the diagnostic serial interval, the time between the diagnosis of the infector and infectee, as a new indicator for the effectiveness of contact tracing. METHODS: Using an agent-based simulation model, we demonstrate how the diagnostic serial interval correlates with the course of the epidemic. We consider four scenarios of how diagnosis and subsequent isolation are triggered: 1. never, 2. by symptoms, 3. by symptoms and loose contact tracing, 4. by symptoms and tight contact tracing. We further refine scenarios 3 and 4 with different lengths of target diagnostic serial intervals. RESULTS: Scenarios 1 and 2 did not yield a notable difference. In scenarios 3 and 4, however, contact tracing led to a decrease of the height of the epidemic as well as the cumulative proportion of infected agents. Generally, the shorter the diagnostic serial interval was, the smaller the peak of the epidemic became, and the more proportion of the population remained susceptible at the end of the epidemic. CONCLUSION: A short target diagnosis interval is critical for contact tracing to be effective in the epidemic control. The diagnosis interval can be used to assess and guide the contact tracing strategy.

Diagnostic serial interval as a novel indicator for contact tracing effectiveness exemplified with the SARS-CoV-2/COVID-19 outbreak in South Korea.

BACKGROUND: The clinical onset serial interval is often used as a proxy for the transmission interval of an infectious disease. For SARS-CoV-2/COVID-19, data on clinical onset serial intervals is limited, since symptom onset dates are not routinely recorded and do not exist in asymptomatic carriers. METHODS: We define the diagnostic serial interval as the time between the diagnosis dates of the infector and infectee. Based on the DS4C project data on SARS-CoV-2/COVID-19 in South Korea, we estimate the means of the diagnostic serial interval, the clinical onset serial interval, and the difference between the two. We use the balanced cluster bootstrap method to construct 95% bootstrap confidence intervals. RESULTS: The mean of the diagnostic serial interval was estimated to be 3.63 days (95% CI: 3.24, 4.01). The diagnostic serial interval was significantly shorter than the clinical onset serial interval (estimated mean difference -1.12 days, 95% CI: -1.98, -0.26). CONCLUSIONS: The relatively short diagnostic serial intervals of SARS-CoV-2/COVID-19 in South Korea are likely due to the country's extensive efforts towards contact tracing. We propose the mean diagnostic serial interval as a new indicator for the effectiveness of a country's contact tracing as part of the epidemic surveillance.

The Day the Electronic Medical Records System Went Down.

This essay describes the author's experience of improved patient care and collaboration the day the electronic medical records system went down.